diff --git "a/metadata/Task_Image_Mask_random_metadata.csv" "b/metadata/Task_Image_Mask_random_metadata.csv" new file mode 100644--- /dev/null +++ "b/metadata/Task_Image_Mask_random_metadata.csv" @@ -0,0 +1,1801 @@ +id,prompt,mask_type,task,image_id,image1_path,image2_path +1,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000000,Task_Image_Mask_raw_image\images\000000000.jpg,Task_Image_Mask_raw_image\random_mask\000000000.png +2,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000000,Task_Image_Mask_raw_image\images\000000000.jpg,Task_Image_Mask_raw_image\random_mask\000000000.png +3,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000000,Task_Image_Mask_raw_image\images\000000000.jpg,Task_Image_Mask_raw_image\random_mask\000000000.png +4,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000001,Task_Image_Mask_raw_image\images\000000001.jpg,Task_Image_Mask_raw_image\random_mask\000000001.png +5,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000001,Task_Image_Mask_raw_image\images\000000001.jpg,Task_Image_Mask_raw_image\random_mask\000000001.png +6,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000001,Task_Image_Mask_raw_image\images\000000001.jpg,Task_Image_Mask_raw_image\random_mask\000000001.png +7,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000002,Task_Image_Mask_raw_image\images\000000002.jpg,Task_Image_Mask_raw_image\random_mask\000000002.png +8,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000002,Task_Image_Mask_raw_image\images\000000002.jpg,Task_Image_Mask_raw_image\random_mask\000000002.png +9,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000002,Task_Image_Mask_raw_image\images\000000002.jpg,Task_Image_Mask_raw_image\random_mask\000000002.png +10,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000003,Task_Image_Mask_raw_image\images\000000003.jpg,Task_Image_Mask_raw_image\random_mask\000000003.png +11,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000003,Task_Image_Mask_raw_image\images\000000003.jpg,Task_Image_Mask_raw_image\random_mask\000000003.png +12,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000003,Task_Image_Mask_raw_image\images\000000003.jpg,Task_Image_Mask_raw_image\random_mask\000000003.png +13,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000004,Task_Image_Mask_raw_image\images\000000004.jpg,Task_Image_Mask_raw_image\random_mask\000000004.png +14,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000004,Task_Image_Mask_raw_image\images\000000004.jpg,Task_Image_Mask_raw_image\random_mask\000000004.png +15,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000004,Task_Image_Mask_raw_image\images\000000004.jpg,Task_Image_Mask_raw_image\random_mask\000000004.png +16,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000005,Task_Image_Mask_raw_image\images\000000005.jpg,Task_Image_Mask_raw_image\random_mask\000000005.png +17,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000005,Task_Image_Mask_raw_image\images\000000005.jpg,Task_Image_Mask_raw_image\random_mask\000000005.png +18,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000005,Task_Image_Mask_raw_image\images\000000005.jpg,Task_Image_Mask_raw_image\random_mask\000000005.png +19,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000006,Task_Image_Mask_raw_image\images\000000006.jpg,Task_Image_Mask_raw_image\random_mask\000000006.png +20,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000006,Task_Image_Mask_raw_image\images\000000006.jpg,Task_Image_Mask_raw_image\random_mask\000000006.png +21,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000006,Task_Image_Mask_raw_image\images\000000006.jpg,Task_Image_Mask_raw_image\random_mask\000000006.png +22,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000007,Task_Image_Mask_raw_image\images\000000007.jpg,Task_Image_Mask_raw_image\random_mask\000000007.png +23,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000007,Task_Image_Mask_raw_image\images\000000007.jpg,Task_Image_Mask_raw_image\random_mask\000000007.png +24,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000007,Task_Image_Mask_raw_image\images\000000007.jpg,Task_Image_Mask_raw_image\random_mask\000000007.png +25,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000008,Task_Image_Mask_raw_image\images\000000008.jpg,Task_Image_Mask_raw_image\random_mask\000000008.png +26,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000008,Task_Image_Mask_raw_image\images\000000008.jpg,Task_Image_Mask_raw_image\random_mask\000000008.png +27,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000008,Task_Image_Mask_raw_image\images\000000008.jpg,Task_Image_Mask_raw_image\random_mask\000000008.png +28,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000009,Task_Image_Mask_raw_image\images\000000009.jpg,Task_Image_Mask_raw_image\random_mask\000000009.png +29,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000009,Task_Image_Mask_raw_image\images\000000009.jpg,Task_Image_Mask_raw_image\random_mask\000000009.png +30,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000009,Task_Image_Mask_raw_image\images\000000009.jpg,Task_Image_Mask_raw_image\random_mask\000000009.png +31,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000010,Task_Image_Mask_raw_image\images\000000010.jpg,Task_Image_Mask_raw_image\random_mask\000000010.png +32,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000010,Task_Image_Mask_raw_image\images\000000010.jpg,Task_Image_Mask_raw_image\random_mask\000000010.png +33,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000010,Task_Image_Mask_raw_image\images\000000010.jpg,Task_Image_Mask_raw_image\random_mask\000000010.png +34,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000011,Task_Image_Mask_raw_image\images\000000011.jpg,Task_Image_Mask_raw_image\random_mask\000000011.png +35,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000011,Task_Image_Mask_raw_image\images\000000011.jpg,Task_Image_Mask_raw_image\random_mask\000000011.png +36,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000011,Task_Image_Mask_raw_image\images\000000011.jpg,Task_Image_Mask_raw_image\random_mask\000000011.png +37,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000012,Task_Image_Mask_raw_image\images\000000012.jpg,Task_Image_Mask_raw_image\random_mask\000000012.png +38,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000012,Task_Image_Mask_raw_image\images\000000012.jpg,Task_Image_Mask_raw_image\random_mask\000000012.png +39,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000012,Task_Image_Mask_raw_image\images\000000012.jpg,Task_Image_Mask_raw_image\random_mask\000000012.png +40,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000013,Task_Image_Mask_raw_image\images\000000013.jpg,Task_Image_Mask_raw_image\random_mask\000000013.png +41,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000013,Task_Image_Mask_raw_image\images\000000013.jpg,Task_Image_Mask_raw_image\random_mask\000000013.png +42,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000013,Task_Image_Mask_raw_image\images\000000013.jpg,Task_Image_Mask_raw_image\random_mask\000000013.png +43,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000014,Task_Image_Mask_raw_image\images\000000014.jpg,Task_Image_Mask_raw_image\random_mask\000000014.png +44,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000014,Task_Image_Mask_raw_image\images\000000014.jpg,Task_Image_Mask_raw_image\random_mask\000000014.png +45,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000014,Task_Image_Mask_raw_image\images\000000014.jpg,Task_Image_Mask_raw_image\random_mask\000000014.png +46,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000015,Task_Image_Mask_raw_image\images\000000015.jpg,Task_Image_Mask_raw_image\random_mask\000000015.png +47,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000015,Task_Image_Mask_raw_image\images\000000015.jpg,Task_Image_Mask_raw_image\random_mask\000000015.png +48,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000015,Task_Image_Mask_raw_image\images\000000015.jpg,Task_Image_Mask_raw_image\random_mask\000000015.png +49,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000016,Task_Image_Mask_raw_image\images\000000016.jpg,Task_Image_Mask_raw_image\random_mask\000000016.png +50,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000016,Task_Image_Mask_raw_image\images\000000016.jpg,Task_Image_Mask_raw_image\random_mask\000000016.png +51,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000016,Task_Image_Mask_raw_image\images\000000016.jpg,Task_Image_Mask_raw_image\random_mask\000000016.png +52,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000017,Task_Image_Mask_raw_image\images\000000017.jpg,Task_Image_Mask_raw_image\random_mask\000000017.png +53,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000017,Task_Image_Mask_raw_image\images\000000017.jpg,Task_Image_Mask_raw_image\random_mask\000000017.png +54,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000017,Task_Image_Mask_raw_image\images\000000017.jpg,Task_Image_Mask_raw_image\random_mask\000000017.png +55,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000018,Task_Image_Mask_raw_image\images\000000018.jpg,Task_Image_Mask_raw_image\random_mask\000000018.png +56,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000018,Task_Image_Mask_raw_image\images\000000018.jpg,Task_Image_Mask_raw_image\random_mask\000000018.png +57,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000018,Task_Image_Mask_raw_image\images\000000018.jpg,Task_Image_Mask_raw_image\random_mask\000000018.png +58,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000019,Task_Image_Mask_raw_image\images\000000019.jpg,Task_Image_Mask_raw_image\random_mask\000000019.png +59,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000019,Task_Image_Mask_raw_image\images\000000019.jpg,Task_Image_Mask_raw_image\random_mask\000000019.png +60,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000019,Task_Image_Mask_raw_image\images\000000019.jpg,Task_Image_Mask_raw_image\random_mask\000000019.png +61,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000020,Task_Image_Mask_raw_image\images\000000020.jpg,Task_Image_Mask_raw_image\random_mask\000000020.png +62,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000020,Task_Image_Mask_raw_image\images\000000020.jpg,Task_Image_Mask_raw_image\random_mask\000000020.png +63,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000020,Task_Image_Mask_raw_image\images\000000020.jpg,Task_Image_Mask_raw_image\random_mask\000000020.png +64,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000021,Task_Image_Mask_raw_image\images\000000021.jpg,Task_Image_Mask_raw_image\random_mask\000000021.png +65,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000021,Task_Image_Mask_raw_image\images\000000021.jpg,Task_Image_Mask_raw_image\random_mask\000000021.png +66,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000021,Task_Image_Mask_raw_image\images\000000021.jpg,Task_Image_Mask_raw_image\random_mask\000000021.png +67,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000022,Task_Image_Mask_raw_image\images\000000022.jpg,Task_Image_Mask_raw_image\random_mask\000000022.png +68,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000022,Task_Image_Mask_raw_image\images\000000022.jpg,Task_Image_Mask_raw_image\random_mask\000000022.png +69,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000022,Task_Image_Mask_raw_image\images\000000022.jpg,Task_Image_Mask_raw_image\random_mask\000000022.png +70,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000023,Task_Image_Mask_raw_image\images\000000023.jpg,Task_Image_Mask_raw_image\random_mask\000000023.png +71,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000023,Task_Image_Mask_raw_image\images\000000023.jpg,Task_Image_Mask_raw_image\random_mask\000000023.png +72,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000023,Task_Image_Mask_raw_image\images\000000023.jpg,Task_Image_Mask_raw_image\random_mask\000000023.png +73,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000024,Task_Image_Mask_raw_image\images\000000024.jpg,Task_Image_Mask_raw_image\random_mask\000000024.png +74,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000024,Task_Image_Mask_raw_image\images\000000024.jpg,Task_Image_Mask_raw_image\random_mask\000000024.png +75,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000024,Task_Image_Mask_raw_image\images\000000024.jpg,Task_Image_Mask_raw_image\random_mask\000000024.png +76,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000025,Task_Image_Mask_raw_image\images\000000025.jpg,Task_Image_Mask_raw_image\random_mask\000000025.png +77,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000025,Task_Image_Mask_raw_image\images\000000025.jpg,Task_Image_Mask_raw_image\random_mask\000000025.png +78,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000025,Task_Image_Mask_raw_image\images\000000025.jpg,Task_Image_Mask_raw_image\random_mask\000000025.png +79,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000026,Task_Image_Mask_raw_image\images\000000026.jpg,Task_Image_Mask_raw_image\random_mask\000000026.png +80,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000026,Task_Image_Mask_raw_image\images\000000026.jpg,Task_Image_Mask_raw_image\random_mask\000000026.png +81,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000026,Task_Image_Mask_raw_image\images\000000026.jpg,Task_Image_Mask_raw_image\random_mask\000000026.png +82,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000027,Task_Image_Mask_raw_image\images\000000027.jpg,Task_Image_Mask_raw_image\random_mask\000000027.png +83,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000027,Task_Image_Mask_raw_image\images\000000027.jpg,Task_Image_Mask_raw_image\random_mask\000000027.png +84,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000027,Task_Image_Mask_raw_image\images\000000027.jpg,Task_Image_Mask_raw_image\random_mask\000000027.png +85,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000028,Task_Image_Mask_raw_image\images\000000028.jpg,Task_Image_Mask_raw_image\random_mask\000000028.png +86,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000028,Task_Image_Mask_raw_image\images\000000028.jpg,Task_Image_Mask_raw_image\random_mask\000000028.png +87,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000028,Task_Image_Mask_raw_image\images\000000028.jpg,Task_Image_Mask_raw_image\random_mask\000000028.png +88,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000029,Task_Image_Mask_raw_image\images\000000029.jpg,Task_Image_Mask_raw_image\random_mask\000000029.png +89,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000029,Task_Image_Mask_raw_image\images\000000029.jpg,Task_Image_Mask_raw_image\random_mask\000000029.png +90,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000029,Task_Image_Mask_raw_image\images\000000029.jpg,Task_Image_Mask_raw_image\random_mask\000000029.png +91,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000030,Task_Image_Mask_raw_image\images\000000030.jpg,Task_Image_Mask_raw_image\random_mask\000000030.png +92,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000030,Task_Image_Mask_raw_image\images\000000030.jpg,Task_Image_Mask_raw_image\random_mask\000000030.png +93,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000030,Task_Image_Mask_raw_image\images\000000030.jpg,Task_Image_Mask_raw_image\random_mask\000000030.png +94,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000031,Task_Image_Mask_raw_image\images\000000031.jpg,Task_Image_Mask_raw_image\random_mask\000000031.png +95,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000031,Task_Image_Mask_raw_image\images\000000031.jpg,Task_Image_Mask_raw_image\random_mask\000000031.png +96,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000031,Task_Image_Mask_raw_image\images\000000031.jpg,Task_Image_Mask_raw_image\random_mask\000000031.png +97,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000032,Task_Image_Mask_raw_image\images\000000032.jpg,Task_Image_Mask_raw_image\random_mask\000000032.png +98,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000032,Task_Image_Mask_raw_image\images\000000032.jpg,Task_Image_Mask_raw_image\random_mask\000000032.png +99,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000032,Task_Image_Mask_raw_image\images\000000032.jpg,Task_Image_Mask_raw_image\random_mask\000000032.png +100,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000033,Task_Image_Mask_raw_image\images\000000033.jpg,Task_Image_Mask_raw_image\random_mask\000000033.png +101,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000033,Task_Image_Mask_raw_image\images\000000033.jpg,Task_Image_Mask_raw_image\random_mask\000000033.png +102,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000033,Task_Image_Mask_raw_image\images\000000033.jpg,Task_Image_Mask_raw_image\random_mask\000000033.png +103,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000034,Task_Image_Mask_raw_image\images\000000034.jpg,Task_Image_Mask_raw_image\random_mask\000000034.png +104,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000034,Task_Image_Mask_raw_image\images\000000034.jpg,Task_Image_Mask_raw_image\random_mask\000000034.png +105,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000034,Task_Image_Mask_raw_image\images\000000034.jpg,Task_Image_Mask_raw_image\random_mask\000000034.png +106,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000035,Task_Image_Mask_raw_image\images\000000035.jpg,Task_Image_Mask_raw_image\random_mask\000000035.png +107,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000035,Task_Image_Mask_raw_image\images\000000035.jpg,Task_Image_Mask_raw_image\random_mask\000000035.png +108,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000035,Task_Image_Mask_raw_image\images\000000035.jpg,Task_Image_Mask_raw_image\random_mask\000000035.png +109,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000036,Task_Image_Mask_raw_image\images\000000036.jpg,Task_Image_Mask_raw_image\random_mask\000000036.png +110,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000036,Task_Image_Mask_raw_image\images\000000036.jpg,Task_Image_Mask_raw_image\random_mask\000000036.png +111,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000036,Task_Image_Mask_raw_image\images\000000036.jpg,Task_Image_Mask_raw_image\random_mask\000000036.png +112,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000037,Task_Image_Mask_raw_image\images\000000037.jpg,Task_Image_Mask_raw_image\random_mask\000000037.png +113,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000037,Task_Image_Mask_raw_image\images\000000037.jpg,Task_Image_Mask_raw_image\random_mask\000000037.png +114,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000037,Task_Image_Mask_raw_image\images\000000037.jpg,Task_Image_Mask_raw_image\random_mask\000000037.png +115,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000038,Task_Image_Mask_raw_image\images\000000038.jpg,Task_Image_Mask_raw_image\random_mask\000000038.png +116,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000038,Task_Image_Mask_raw_image\images\000000038.jpg,Task_Image_Mask_raw_image\random_mask\000000038.png +117,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000038,Task_Image_Mask_raw_image\images\000000038.jpg,Task_Image_Mask_raw_image\random_mask\000000038.png +118,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000039,Task_Image_Mask_raw_image\images\000000039.jpg,Task_Image_Mask_raw_image\random_mask\000000039.png +119,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000039,Task_Image_Mask_raw_image\images\000000039.jpg,Task_Image_Mask_raw_image\random_mask\000000039.png +120,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000039,Task_Image_Mask_raw_image\images\000000039.jpg,Task_Image_Mask_raw_image\random_mask\000000039.png +121,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000040,Task_Image_Mask_raw_image\images\000000040.jpg,Task_Image_Mask_raw_image\random_mask\000000040.png +122,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000040,Task_Image_Mask_raw_image\images\000000040.jpg,Task_Image_Mask_raw_image\random_mask\000000040.png +123,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000040,Task_Image_Mask_raw_image\images\000000040.jpg,Task_Image_Mask_raw_image\random_mask\000000040.png +124,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000041,Task_Image_Mask_raw_image\images\000000041.jpg,Task_Image_Mask_raw_image\random_mask\000000041.png +125,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000041,Task_Image_Mask_raw_image\images\000000041.jpg,Task_Image_Mask_raw_image\random_mask\000000041.png +126,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000041,Task_Image_Mask_raw_image\images\000000041.jpg,Task_Image_Mask_raw_image\random_mask\000000041.png +127,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000042,Task_Image_Mask_raw_image\images\000000042.jpg,Task_Image_Mask_raw_image\random_mask\000000042.png +128,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000042,Task_Image_Mask_raw_image\images\000000042.jpg,Task_Image_Mask_raw_image\random_mask\000000042.png +129,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000042,Task_Image_Mask_raw_image\images\000000042.jpg,Task_Image_Mask_raw_image\random_mask\000000042.png +130,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000043,Task_Image_Mask_raw_image\images\000000043.jpg,Task_Image_Mask_raw_image\random_mask\000000043.png +131,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000043,Task_Image_Mask_raw_image\images\000000043.jpg,Task_Image_Mask_raw_image\random_mask\000000043.png +132,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000043,Task_Image_Mask_raw_image\images\000000043.jpg,Task_Image_Mask_raw_image\random_mask\000000043.png +133,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000044,Task_Image_Mask_raw_image\images\000000044.jpg,Task_Image_Mask_raw_image\random_mask\000000044.png +134,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000044,Task_Image_Mask_raw_image\images\000000044.jpg,Task_Image_Mask_raw_image\random_mask\000000044.png +135,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000044,Task_Image_Mask_raw_image\images\000000044.jpg,Task_Image_Mask_raw_image\random_mask\000000044.png +136,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000045,Task_Image_Mask_raw_image\images\000000045.jpg,Task_Image_Mask_raw_image\random_mask\000000045.png +137,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000045,Task_Image_Mask_raw_image\images\000000045.jpg,Task_Image_Mask_raw_image\random_mask\000000045.png +138,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000045,Task_Image_Mask_raw_image\images\000000045.jpg,Task_Image_Mask_raw_image\random_mask\000000045.png +139,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000046,Task_Image_Mask_raw_image\images\000000046.jpg,Task_Image_Mask_raw_image\random_mask\000000046.png +140,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000046,Task_Image_Mask_raw_image\images\000000046.jpg,Task_Image_Mask_raw_image\random_mask\000000046.png +141,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000046,Task_Image_Mask_raw_image\images\000000046.jpg,Task_Image_Mask_raw_image\random_mask\000000046.png +142,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000047,Task_Image_Mask_raw_image\images\000000047.jpg,Task_Image_Mask_raw_image\random_mask\000000047.png +143,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000047,Task_Image_Mask_raw_image\images\000000047.jpg,Task_Image_Mask_raw_image\random_mask\000000047.png +144,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000047,Task_Image_Mask_raw_image\images\000000047.jpg,Task_Image_Mask_raw_image\random_mask\000000047.png +145,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000048,Task_Image_Mask_raw_image\images\000000048.jpg,Task_Image_Mask_raw_image\random_mask\000000048.png +146,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000048,Task_Image_Mask_raw_image\images\000000048.jpg,Task_Image_Mask_raw_image\random_mask\000000048.png +147,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000048,Task_Image_Mask_raw_image\images\000000048.jpg,Task_Image_Mask_raw_image\random_mask\000000048.png +148,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000049,Task_Image_Mask_raw_image\images\000000049.jpg,Task_Image_Mask_raw_image\random_mask\000000049.png +149,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000049,Task_Image_Mask_raw_image\images\000000049.jpg,Task_Image_Mask_raw_image\random_mask\000000049.png +150,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000049,Task_Image_Mask_raw_image\images\000000049.jpg,Task_Image_Mask_raw_image\random_mask\000000049.png +151,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000050,Task_Image_Mask_raw_image\images\000000050.jpg,Task_Image_Mask_raw_image\random_mask\000000050.png +152,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000050,Task_Image_Mask_raw_image\images\000000050.jpg,Task_Image_Mask_raw_image\random_mask\000000050.png +153,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000050,Task_Image_Mask_raw_image\images\000000050.jpg,Task_Image_Mask_raw_image\random_mask\000000050.png +154,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000051,Task_Image_Mask_raw_image\images\000000051.jpg,Task_Image_Mask_raw_image\random_mask\000000051.png +155,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000051,Task_Image_Mask_raw_image\images\000000051.jpg,Task_Image_Mask_raw_image\random_mask\000000051.png +156,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000051,Task_Image_Mask_raw_image\images\000000051.jpg,Task_Image_Mask_raw_image\random_mask\000000051.png +157,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000052,Task_Image_Mask_raw_image\images\000000052.jpg,Task_Image_Mask_raw_image\random_mask\000000052.png +158,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000052,Task_Image_Mask_raw_image\images\000000052.jpg,Task_Image_Mask_raw_image\random_mask\000000052.png +159,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000052,Task_Image_Mask_raw_image\images\000000052.jpg,Task_Image_Mask_raw_image\random_mask\000000052.png +160,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000053,Task_Image_Mask_raw_image\images\000000053.jpg,Task_Image_Mask_raw_image\random_mask\000000053.png +161,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000053,Task_Image_Mask_raw_image\images\000000053.jpg,Task_Image_Mask_raw_image\random_mask\000000053.png +162,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000053,Task_Image_Mask_raw_image\images\000000053.jpg,Task_Image_Mask_raw_image\random_mask\000000053.png +163,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000054,Task_Image_Mask_raw_image\images\000000054.jpg,Task_Image_Mask_raw_image\random_mask\000000054.png +164,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000054,Task_Image_Mask_raw_image\images\000000054.jpg,Task_Image_Mask_raw_image\random_mask\000000054.png +165,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000054,Task_Image_Mask_raw_image\images\000000054.jpg,Task_Image_Mask_raw_image\random_mask\000000054.png +166,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000055,Task_Image_Mask_raw_image\images\000000055.jpg,Task_Image_Mask_raw_image\random_mask\000000055.png +167,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000055,Task_Image_Mask_raw_image\images\000000055.jpg,Task_Image_Mask_raw_image\random_mask\000000055.png +168,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000055,Task_Image_Mask_raw_image\images\000000055.jpg,Task_Image_Mask_raw_image\random_mask\000000055.png +169,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000056,Task_Image_Mask_raw_image\images\000000056.jpg,Task_Image_Mask_raw_image\random_mask\000000056.png +170,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000056,Task_Image_Mask_raw_image\images\000000056.jpg,Task_Image_Mask_raw_image\random_mask\000000056.png +171,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000056,Task_Image_Mask_raw_image\images\000000056.jpg,Task_Image_Mask_raw_image\random_mask\000000056.png +172,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000057,Task_Image_Mask_raw_image\images\000000057.jpg,Task_Image_Mask_raw_image\random_mask\000000057.png +173,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000057,Task_Image_Mask_raw_image\images\000000057.jpg,Task_Image_Mask_raw_image\random_mask\000000057.png +174,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000057,Task_Image_Mask_raw_image\images\000000057.jpg,Task_Image_Mask_raw_image\random_mask\000000057.png +175,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000058,Task_Image_Mask_raw_image\images\000000058.jpg,Task_Image_Mask_raw_image\random_mask\000000058.png +176,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000058,Task_Image_Mask_raw_image\images\000000058.jpg,Task_Image_Mask_raw_image\random_mask\000000058.png +177,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000058,Task_Image_Mask_raw_image\images\000000058.jpg,Task_Image_Mask_raw_image\random_mask\000000058.png +178,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000059,Task_Image_Mask_raw_image\images\000000059.jpg,Task_Image_Mask_raw_image\random_mask\000000059.png +179,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000059,Task_Image_Mask_raw_image\images\000000059.jpg,Task_Image_Mask_raw_image\random_mask\000000059.png +180,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000059,Task_Image_Mask_raw_image\images\000000059.jpg,Task_Image_Mask_raw_image\random_mask\000000059.png +181,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000060,Task_Image_Mask_raw_image\images\000000060.jpg,Task_Image_Mask_raw_image\random_mask\000000060.png +182,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000060,Task_Image_Mask_raw_image\images\000000060.jpg,Task_Image_Mask_raw_image\random_mask\000000060.png +183,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000060,Task_Image_Mask_raw_image\images\000000060.jpg,Task_Image_Mask_raw_image\random_mask\000000060.png +184,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000061,Task_Image_Mask_raw_image\images\000000061.jpg,Task_Image_Mask_raw_image\random_mask\000000061.png +185,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000061,Task_Image_Mask_raw_image\images\000000061.jpg,Task_Image_Mask_raw_image\random_mask\000000061.png +186,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000061,Task_Image_Mask_raw_image\images\000000061.jpg,Task_Image_Mask_raw_image\random_mask\000000061.png +187,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000062,Task_Image_Mask_raw_image\images\000000062.jpg,Task_Image_Mask_raw_image\random_mask\000000062.png +188,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000062,Task_Image_Mask_raw_image\images\000000062.jpg,Task_Image_Mask_raw_image\random_mask\000000062.png +189,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000062,Task_Image_Mask_raw_image\images\000000062.jpg,Task_Image_Mask_raw_image\random_mask\000000062.png +190,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000063,Task_Image_Mask_raw_image\images\000000063.jpg,Task_Image_Mask_raw_image\random_mask\000000063.png +191,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000063,Task_Image_Mask_raw_image\images\000000063.jpg,Task_Image_Mask_raw_image\random_mask\000000063.png +192,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000063,Task_Image_Mask_raw_image\images\000000063.jpg,Task_Image_Mask_raw_image\random_mask\000000063.png +193,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000064,Task_Image_Mask_raw_image\images\000000064.jpg,Task_Image_Mask_raw_image\random_mask\000000064.png +194,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000064,Task_Image_Mask_raw_image\images\000000064.jpg,Task_Image_Mask_raw_image\random_mask\000000064.png +195,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000064,Task_Image_Mask_raw_image\images\000000064.jpg,Task_Image_Mask_raw_image\random_mask\000000064.png +196,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000065,Task_Image_Mask_raw_image\images\000000065.jpg,Task_Image_Mask_raw_image\random_mask\000000065.png +197,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000065,Task_Image_Mask_raw_image\images\000000065.jpg,Task_Image_Mask_raw_image\random_mask\000000065.png +198,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000065,Task_Image_Mask_raw_image\images\000000065.jpg,Task_Image_Mask_raw_image\random_mask\000000065.png +199,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000066,Task_Image_Mask_raw_image\images\000000066.jpg,Task_Image_Mask_raw_image\random_mask\000000066.png +200,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000066,Task_Image_Mask_raw_image\images\000000066.jpg,Task_Image_Mask_raw_image\random_mask\000000066.png +201,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000066,Task_Image_Mask_raw_image\images\000000066.jpg,Task_Image_Mask_raw_image\random_mask\000000066.png +202,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000067,Task_Image_Mask_raw_image\images\000000067.jpg,Task_Image_Mask_raw_image\random_mask\000000067.png +203,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000067,Task_Image_Mask_raw_image\images\000000067.jpg,Task_Image_Mask_raw_image\random_mask\000000067.png +204,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000067,Task_Image_Mask_raw_image\images\000000067.jpg,Task_Image_Mask_raw_image\random_mask\000000067.png +205,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000068,Task_Image_Mask_raw_image\images\000000068.jpg,Task_Image_Mask_raw_image\random_mask\000000068.png +206,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000068,Task_Image_Mask_raw_image\images\000000068.jpg,Task_Image_Mask_raw_image\random_mask\000000068.png +207,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000068,Task_Image_Mask_raw_image\images\000000068.jpg,Task_Image_Mask_raw_image\random_mask\000000068.png +208,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000069,Task_Image_Mask_raw_image\images\000000069.jpg,Task_Image_Mask_raw_image\random_mask\000000069.png +209,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000069,Task_Image_Mask_raw_image\images\000000069.jpg,Task_Image_Mask_raw_image\random_mask\000000069.png +210,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000069,Task_Image_Mask_raw_image\images\000000069.jpg,Task_Image_Mask_raw_image\random_mask\000000069.png +211,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000070,Task_Image_Mask_raw_image\images\000000070.jpg,Task_Image_Mask_raw_image\random_mask\000000070.png +212,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000070,Task_Image_Mask_raw_image\images\000000070.jpg,Task_Image_Mask_raw_image\random_mask\000000070.png +213,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000070,Task_Image_Mask_raw_image\images\000000070.jpg,Task_Image_Mask_raw_image\random_mask\000000070.png +214,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000071,Task_Image_Mask_raw_image\images\000000071.jpg,Task_Image_Mask_raw_image\random_mask\000000071.png +215,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000071,Task_Image_Mask_raw_image\images\000000071.jpg,Task_Image_Mask_raw_image\random_mask\000000071.png +216,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000071,Task_Image_Mask_raw_image\images\000000071.jpg,Task_Image_Mask_raw_image\random_mask\000000071.png +217,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000072,Task_Image_Mask_raw_image\images\000000072.jpg,Task_Image_Mask_raw_image\random_mask\000000072.png +218,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000072,Task_Image_Mask_raw_image\images\000000072.jpg,Task_Image_Mask_raw_image\random_mask\000000072.png +219,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000072,Task_Image_Mask_raw_image\images\000000072.jpg,Task_Image_Mask_raw_image\random_mask\000000072.png +220,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000073,Task_Image_Mask_raw_image\images\000000073.jpg,Task_Image_Mask_raw_image\random_mask\000000073.png +221,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000073,Task_Image_Mask_raw_image\images\000000073.jpg,Task_Image_Mask_raw_image\random_mask\000000073.png +222,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000073,Task_Image_Mask_raw_image\images\000000073.jpg,Task_Image_Mask_raw_image\random_mask\000000073.png +223,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000074,Task_Image_Mask_raw_image\images\000000074.jpg,Task_Image_Mask_raw_image\random_mask\000000074.png +224,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000074,Task_Image_Mask_raw_image\images\000000074.jpg,Task_Image_Mask_raw_image\random_mask\000000074.png +225,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000074,Task_Image_Mask_raw_image\images\000000074.jpg,Task_Image_Mask_raw_image\random_mask\000000074.png +226,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000075,Task_Image_Mask_raw_image\images\000000075.jpg,Task_Image_Mask_raw_image\random_mask\000000075.png +227,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000075,Task_Image_Mask_raw_image\images\000000075.jpg,Task_Image_Mask_raw_image\random_mask\000000075.png +228,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000075,Task_Image_Mask_raw_image\images\000000075.jpg,Task_Image_Mask_raw_image\random_mask\000000075.png +229,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000076,Task_Image_Mask_raw_image\images\000000076.jpg,Task_Image_Mask_raw_image\random_mask\000000076.png +230,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000076,Task_Image_Mask_raw_image\images\000000076.jpg,Task_Image_Mask_raw_image\random_mask\000000076.png +231,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000076,Task_Image_Mask_raw_image\images\000000076.jpg,Task_Image_Mask_raw_image\random_mask\000000076.png +232,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000077,Task_Image_Mask_raw_image\images\000000077.jpg,Task_Image_Mask_raw_image\random_mask\000000077.png +233,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000077,Task_Image_Mask_raw_image\images\000000077.jpg,Task_Image_Mask_raw_image\random_mask\000000077.png +234,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000077,Task_Image_Mask_raw_image\images\000000077.jpg,Task_Image_Mask_raw_image\random_mask\000000077.png +235,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000078,Task_Image_Mask_raw_image\images\000000078.jpg,Task_Image_Mask_raw_image\random_mask\000000078.png +236,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000078,Task_Image_Mask_raw_image\images\000000078.jpg,Task_Image_Mask_raw_image\random_mask\000000078.png +237,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000078,Task_Image_Mask_raw_image\images\000000078.jpg,Task_Image_Mask_raw_image\random_mask\000000078.png +238,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000079,Task_Image_Mask_raw_image\images\000000079.jpg,Task_Image_Mask_raw_image\random_mask\000000079.png +239,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000079,Task_Image_Mask_raw_image\images\000000079.jpg,Task_Image_Mask_raw_image\random_mask\000000079.png +240,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000079,Task_Image_Mask_raw_image\images\000000079.jpg,Task_Image_Mask_raw_image\random_mask\000000079.png +241,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000080,Task_Image_Mask_raw_image\images\000000080.jpg,Task_Image_Mask_raw_image\random_mask\000000080.png +242,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000080,Task_Image_Mask_raw_image\images\000000080.jpg,Task_Image_Mask_raw_image\random_mask\000000080.png +243,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000080,Task_Image_Mask_raw_image\images\000000080.jpg,Task_Image_Mask_raw_image\random_mask\000000080.png +244,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000081,Task_Image_Mask_raw_image\images\000000081.jpg,Task_Image_Mask_raw_image\random_mask\000000081.png +245,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000081,Task_Image_Mask_raw_image\images\000000081.jpg,Task_Image_Mask_raw_image\random_mask\000000081.png +246,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000081,Task_Image_Mask_raw_image\images\000000081.jpg,Task_Image_Mask_raw_image\random_mask\000000081.png +247,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000082,Task_Image_Mask_raw_image\images\000000082.jpg,Task_Image_Mask_raw_image\random_mask\000000082.png +248,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000082,Task_Image_Mask_raw_image\images\000000082.jpg,Task_Image_Mask_raw_image\random_mask\000000082.png +249,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000082,Task_Image_Mask_raw_image\images\000000082.jpg,Task_Image_Mask_raw_image\random_mask\000000082.png +250,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000083,Task_Image_Mask_raw_image\images\000000083.jpg,Task_Image_Mask_raw_image\random_mask\000000083.png +251,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000083,Task_Image_Mask_raw_image\images\000000083.jpg,Task_Image_Mask_raw_image\random_mask\000000083.png +252,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000083,Task_Image_Mask_raw_image\images\000000083.jpg,Task_Image_Mask_raw_image\random_mask\000000083.png +253,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000084,Task_Image_Mask_raw_image\images\000000084.jpg,Task_Image_Mask_raw_image\random_mask\000000084.png +254,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000084,Task_Image_Mask_raw_image\images\000000084.jpg,Task_Image_Mask_raw_image\random_mask\000000084.png +255,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000084,Task_Image_Mask_raw_image\images\000000084.jpg,Task_Image_Mask_raw_image\random_mask\000000084.png +256,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000085,Task_Image_Mask_raw_image\images\000000085.jpg,Task_Image_Mask_raw_image\random_mask\000000085.png +257,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000085,Task_Image_Mask_raw_image\images\000000085.jpg,Task_Image_Mask_raw_image\random_mask\000000085.png +258,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000085,Task_Image_Mask_raw_image\images\000000085.jpg,Task_Image_Mask_raw_image\random_mask\000000085.png +259,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000086,Task_Image_Mask_raw_image\images\000000086.jpg,Task_Image_Mask_raw_image\random_mask\000000086.png +260,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000086,Task_Image_Mask_raw_image\images\000000086.jpg,Task_Image_Mask_raw_image\random_mask\000000086.png +261,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000086,Task_Image_Mask_raw_image\images\000000086.jpg,Task_Image_Mask_raw_image\random_mask\000000086.png +262,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000087,Task_Image_Mask_raw_image\images\000000087.jpg,Task_Image_Mask_raw_image\random_mask\000000087.png +263,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000087,Task_Image_Mask_raw_image\images\000000087.jpg,Task_Image_Mask_raw_image\random_mask\000000087.png +264,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000087,Task_Image_Mask_raw_image\images\000000087.jpg,Task_Image_Mask_raw_image\random_mask\000000087.png +265,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000088,Task_Image_Mask_raw_image\images\000000088.jpg,Task_Image_Mask_raw_image\random_mask\000000088.png +266,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000088,Task_Image_Mask_raw_image\images\000000088.jpg,Task_Image_Mask_raw_image\random_mask\000000088.png +267,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000088,Task_Image_Mask_raw_image\images\000000088.jpg,Task_Image_Mask_raw_image\random_mask\000000088.png +268,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000089,Task_Image_Mask_raw_image\images\000000089.jpg,Task_Image_Mask_raw_image\random_mask\000000089.png +269,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000089,Task_Image_Mask_raw_image\images\000000089.jpg,Task_Image_Mask_raw_image\random_mask\000000089.png +270,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000089,Task_Image_Mask_raw_image\images\000000089.jpg,Task_Image_Mask_raw_image\random_mask\000000089.png +271,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000090,Task_Image_Mask_raw_image\images\000000090.jpg,Task_Image_Mask_raw_image\random_mask\000000090.png +272,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000090,Task_Image_Mask_raw_image\images\000000090.jpg,Task_Image_Mask_raw_image\random_mask\000000090.png +273,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000090,Task_Image_Mask_raw_image\images\000000090.jpg,Task_Image_Mask_raw_image\random_mask\000000090.png +274,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000091,Task_Image_Mask_raw_image\images\000000091.jpg,Task_Image_Mask_raw_image\random_mask\000000091.png +275,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000091,Task_Image_Mask_raw_image\images\000000091.jpg,Task_Image_Mask_raw_image\random_mask\000000091.png +276,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000091,Task_Image_Mask_raw_image\images\000000091.jpg,Task_Image_Mask_raw_image\random_mask\000000091.png +277,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000092,Task_Image_Mask_raw_image\images\000000092.jpg,Task_Image_Mask_raw_image\random_mask\000000092.png +278,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000092,Task_Image_Mask_raw_image\images\000000092.jpg,Task_Image_Mask_raw_image\random_mask\000000092.png +279,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000092,Task_Image_Mask_raw_image\images\000000092.jpg,Task_Image_Mask_raw_image\random_mask\000000092.png +280,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000093,Task_Image_Mask_raw_image\images\000000093.jpg,Task_Image_Mask_raw_image\random_mask\000000093.png +281,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000093,Task_Image_Mask_raw_image\images\000000093.jpg,Task_Image_Mask_raw_image\random_mask\000000093.png +282,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000093,Task_Image_Mask_raw_image\images\000000093.jpg,Task_Image_Mask_raw_image\random_mask\000000093.png +283,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000094,Task_Image_Mask_raw_image\images\000000094.jpg,Task_Image_Mask_raw_image\random_mask\000000094.png +284,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000094,Task_Image_Mask_raw_image\images\000000094.jpg,Task_Image_Mask_raw_image\random_mask\000000094.png +285,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000094,Task_Image_Mask_raw_image\images\000000094.jpg,Task_Image_Mask_raw_image\random_mask\000000094.png +286,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000095,Task_Image_Mask_raw_image\images\000000095.jpg,Task_Image_Mask_raw_image\random_mask\000000095.png +287,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000095,Task_Image_Mask_raw_image\images\000000095.jpg,Task_Image_Mask_raw_image\random_mask\000000095.png +288,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000095,Task_Image_Mask_raw_image\images\000000095.jpg,Task_Image_Mask_raw_image\random_mask\000000095.png +289,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000096,Task_Image_Mask_raw_image\images\000000096.jpg,Task_Image_Mask_raw_image\random_mask\000000096.png +290,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000096,Task_Image_Mask_raw_image\images\000000096.jpg,Task_Image_Mask_raw_image\random_mask\000000096.png +291,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000096,Task_Image_Mask_raw_image\images\000000096.jpg,Task_Image_Mask_raw_image\random_mask\000000096.png +292,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000097,Task_Image_Mask_raw_image\images\000000097.jpg,Task_Image_Mask_raw_image\random_mask\000000097.png +293,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000097,Task_Image_Mask_raw_image\images\000000097.jpg,Task_Image_Mask_raw_image\random_mask\000000097.png +294,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000097,Task_Image_Mask_raw_image\images\000000097.jpg,Task_Image_Mask_raw_image\random_mask\000000097.png +295,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000098,Task_Image_Mask_raw_image\images\000000098.jpg,Task_Image_Mask_raw_image\random_mask\000000098.png +296,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000098,Task_Image_Mask_raw_image\images\000000098.jpg,Task_Image_Mask_raw_image\random_mask\000000098.png +297,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000098,Task_Image_Mask_raw_image\images\000000098.jpg,Task_Image_Mask_raw_image\random_mask\000000098.png +298,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000099,Task_Image_Mask_raw_image\images\000000099.jpg,Task_Image_Mask_raw_image\random_mask\000000099.png +299,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000099,Task_Image_Mask_raw_image\images\000000099.jpg,Task_Image_Mask_raw_image\random_mask\000000099.png +300,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000099,Task_Image_Mask_raw_image\images\000000099.jpg,Task_Image_Mask_raw_image\random_mask\000000099.png +301,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000100,Task_Image_Mask_raw_image\images\000000100.jpg,Task_Image_Mask_raw_image\random_mask\000000100.png +302,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000100,Task_Image_Mask_raw_image\images\000000100.jpg,Task_Image_Mask_raw_image\random_mask\000000100.png +303,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000100,Task_Image_Mask_raw_image\images\000000100.jpg,Task_Image_Mask_raw_image\random_mask\000000100.png +304,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000101,Task_Image_Mask_raw_image\images\000000101.jpg,Task_Image_Mask_raw_image\random_mask\000000101.png +305,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000101,Task_Image_Mask_raw_image\images\000000101.jpg,Task_Image_Mask_raw_image\random_mask\000000101.png +306,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000101,Task_Image_Mask_raw_image\images\000000101.jpg,Task_Image_Mask_raw_image\random_mask\000000101.png +307,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000102,Task_Image_Mask_raw_image\images\000000102.jpg,Task_Image_Mask_raw_image\random_mask\000000102.png +308,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000102,Task_Image_Mask_raw_image\images\000000102.jpg,Task_Image_Mask_raw_image\random_mask\000000102.png +309,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000102,Task_Image_Mask_raw_image\images\000000102.jpg,Task_Image_Mask_raw_image\random_mask\000000102.png +310,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000103,Task_Image_Mask_raw_image\images\000000103.jpg,Task_Image_Mask_raw_image\random_mask\000000103.png +311,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000103,Task_Image_Mask_raw_image\images\000000103.jpg,Task_Image_Mask_raw_image\random_mask\000000103.png +312,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000103,Task_Image_Mask_raw_image\images\000000103.jpg,Task_Image_Mask_raw_image\random_mask\000000103.png +313,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000104,Task_Image_Mask_raw_image\images\000000104.jpg,Task_Image_Mask_raw_image\random_mask\000000104.png +314,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000104,Task_Image_Mask_raw_image\images\000000104.jpg,Task_Image_Mask_raw_image\random_mask\000000104.png +315,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000104,Task_Image_Mask_raw_image\images\000000104.jpg,Task_Image_Mask_raw_image\random_mask\000000104.png +316,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000105,Task_Image_Mask_raw_image\images\000000105.jpg,Task_Image_Mask_raw_image\random_mask\000000105.png +317,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000105,Task_Image_Mask_raw_image\images\000000105.jpg,Task_Image_Mask_raw_image\random_mask\000000105.png +318,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000105,Task_Image_Mask_raw_image\images\000000105.jpg,Task_Image_Mask_raw_image\random_mask\000000105.png +319,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000106,Task_Image_Mask_raw_image\images\000000106.jpg,Task_Image_Mask_raw_image\random_mask\000000106.png +320,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000106,Task_Image_Mask_raw_image\images\000000106.jpg,Task_Image_Mask_raw_image\random_mask\000000106.png +321,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000106,Task_Image_Mask_raw_image\images\000000106.jpg,Task_Image_Mask_raw_image\random_mask\000000106.png +322,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000107,Task_Image_Mask_raw_image\images\000000107.jpg,Task_Image_Mask_raw_image\random_mask\000000107.png +323,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000107,Task_Image_Mask_raw_image\images\000000107.jpg,Task_Image_Mask_raw_image\random_mask\000000107.png +324,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000107,Task_Image_Mask_raw_image\images\000000107.jpg,Task_Image_Mask_raw_image\random_mask\000000107.png +325,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000108,Task_Image_Mask_raw_image\images\000000108.jpg,Task_Image_Mask_raw_image\random_mask\000000108.png +326,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000108,Task_Image_Mask_raw_image\images\000000108.jpg,Task_Image_Mask_raw_image\random_mask\000000108.png +327,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000108,Task_Image_Mask_raw_image\images\000000108.jpg,Task_Image_Mask_raw_image\random_mask\000000108.png +328,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000109,Task_Image_Mask_raw_image\images\000000109.jpg,Task_Image_Mask_raw_image\random_mask\000000109.png +329,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000109,Task_Image_Mask_raw_image\images\000000109.jpg,Task_Image_Mask_raw_image\random_mask\000000109.png +330,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000109,Task_Image_Mask_raw_image\images\000000109.jpg,Task_Image_Mask_raw_image\random_mask\000000109.png +331,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000110,Task_Image_Mask_raw_image\images\000000110.jpg,Task_Image_Mask_raw_image\random_mask\000000110.png +332,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000110,Task_Image_Mask_raw_image\images\000000110.jpg,Task_Image_Mask_raw_image\random_mask\000000110.png +333,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000110,Task_Image_Mask_raw_image\images\000000110.jpg,Task_Image_Mask_raw_image\random_mask\000000110.png +334,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000111,Task_Image_Mask_raw_image\images\000000111.jpg,Task_Image_Mask_raw_image\random_mask\000000111.png +335,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000111,Task_Image_Mask_raw_image\images\000000111.jpg,Task_Image_Mask_raw_image\random_mask\000000111.png +336,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000111,Task_Image_Mask_raw_image\images\000000111.jpg,Task_Image_Mask_raw_image\random_mask\000000111.png +337,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000112,Task_Image_Mask_raw_image\images\000000112.jpg,Task_Image_Mask_raw_image\random_mask\000000112.png +338,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000112,Task_Image_Mask_raw_image\images\000000112.jpg,Task_Image_Mask_raw_image\random_mask\000000112.png +339,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000112,Task_Image_Mask_raw_image\images\000000112.jpg,Task_Image_Mask_raw_image\random_mask\000000112.png +340,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000113,Task_Image_Mask_raw_image\images\000000113.jpg,Task_Image_Mask_raw_image\random_mask\000000113.png +341,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000113,Task_Image_Mask_raw_image\images\000000113.jpg,Task_Image_Mask_raw_image\random_mask\000000113.png +342,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000113,Task_Image_Mask_raw_image\images\000000113.jpg,Task_Image_Mask_raw_image\random_mask\000000113.png +343,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000114,Task_Image_Mask_raw_image\images\000000114.jpg,Task_Image_Mask_raw_image\random_mask\000000114.png +344,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000114,Task_Image_Mask_raw_image\images\000000114.jpg,Task_Image_Mask_raw_image\random_mask\000000114.png +345,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000114,Task_Image_Mask_raw_image\images\000000114.jpg,Task_Image_Mask_raw_image\random_mask\000000114.png +346,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000115,Task_Image_Mask_raw_image\images\000000115.jpg,Task_Image_Mask_raw_image\random_mask\000000115.png +347,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000115,Task_Image_Mask_raw_image\images\000000115.jpg,Task_Image_Mask_raw_image\random_mask\000000115.png +348,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000115,Task_Image_Mask_raw_image\images\000000115.jpg,Task_Image_Mask_raw_image\random_mask\000000115.png +349,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000116,Task_Image_Mask_raw_image\images\000000116.jpg,Task_Image_Mask_raw_image\random_mask\000000116.png +350,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000116,Task_Image_Mask_raw_image\images\000000116.jpg,Task_Image_Mask_raw_image\random_mask\000000116.png +351,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000116,Task_Image_Mask_raw_image\images\000000116.jpg,Task_Image_Mask_raw_image\random_mask\000000116.png +352,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000117,Task_Image_Mask_raw_image\images\000000117.jpg,Task_Image_Mask_raw_image\random_mask\000000117.png +353,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000117,Task_Image_Mask_raw_image\images\000000117.jpg,Task_Image_Mask_raw_image\random_mask\000000117.png +354,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000117,Task_Image_Mask_raw_image\images\000000117.jpg,Task_Image_Mask_raw_image\random_mask\000000117.png +355,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000118,Task_Image_Mask_raw_image\images\000000118.jpg,Task_Image_Mask_raw_image\random_mask\000000118.png +356,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000118,Task_Image_Mask_raw_image\images\000000118.jpg,Task_Image_Mask_raw_image\random_mask\000000118.png +357,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000118,Task_Image_Mask_raw_image\images\000000118.jpg,Task_Image_Mask_raw_image\random_mask\000000118.png +358,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000119,Task_Image_Mask_raw_image\images\000000119.jpg,Task_Image_Mask_raw_image\random_mask\000000119.png +359,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000119,Task_Image_Mask_raw_image\images\000000119.jpg,Task_Image_Mask_raw_image\random_mask\000000119.png +360,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000119,Task_Image_Mask_raw_image\images\000000119.jpg,Task_Image_Mask_raw_image\random_mask\000000119.png +361,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000120,Task_Image_Mask_raw_image\images\000000120.jpg,Task_Image_Mask_raw_image\random_mask\000000120.png +362,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000120,Task_Image_Mask_raw_image\images\000000120.jpg,Task_Image_Mask_raw_image\random_mask\000000120.png +363,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000120,Task_Image_Mask_raw_image\images\000000120.jpg,Task_Image_Mask_raw_image\random_mask\000000120.png +364,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000121,Task_Image_Mask_raw_image\images\000000121.jpg,Task_Image_Mask_raw_image\random_mask\000000121.png +365,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000121,Task_Image_Mask_raw_image\images\000000121.jpg,Task_Image_Mask_raw_image\random_mask\000000121.png +366,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000121,Task_Image_Mask_raw_image\images\000000121.jpg,Task_Image_Mask_raw_image\random_mask\000000121.png +367,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000122,Task_Image_Mask_raw_image\images\000000122.jpg,Task_Image_Mask_raw_image\random_mask\000000122.png +368,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000122,Task_Image_Mask_raw_image\images\000000122.jpg,Task_Image_Mask_raw_image\random_mask\000000122.png +369,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000122,Task_Image_Mask_raw_image\images\000000122.jpg,Task_Image_Mask_raw_image\random_mask\000000122.png +370,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000123,Task_Image_Mask_raw_image\images\000000123.jpg,Task_Image_Mask_raw_image\random_mask\000000123.png +371,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000123,Task_Image_Mask_raw_image\images\000000123.jpg,Task_Image_Mask_raw_image\random_mask\000000123.png +372,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000123,Task_Image_Mask_raw_image\images\000000123.jpg,Task_Image_Mask_raw_image\random_mask\000000123.png +373,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000124,Task_Image_Mask_raw_image\images\000000124.jpg,Task_Image_Mask_raw_image\random_mask\000000124.png +374,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000124,Task_Image_Mask_raw_image\images\000000124.jpg,Task_Image_Mask_raw_image\random_mask\000000124.png +375,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000124,Task_Image_Mask_raw_image\images\000000124.jpg,Task_Image_Mask_raw_image\random_mask\000000124.png +376,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000125,Task_Image_Mask_raw_image\images\000000125.jpg,Task_Image_Mask_raw_image\random_mask\000000125.png +377,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000125,Task_Image_Mask_raw_image\images\000000125.jpg,Task_Image_Mask_raw_image\random_mask\000000125.png +378,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000125,Task_Image_Mask_raw_image\images\000000125.jpg,Task_Image_Mask_raw_image\random_mask\000000125.png +379,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000126,Task_Image_Mask_raw_image\images\000000126.jpg,Task_Image_Mask_raw_image\random_mask\000000126.png +380,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000126,Task_Image_Mask_raw_image\images\000000126.jpg,Task_Image_Mask_raw_image\random_mask\000000126.png +381,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000126,Task_Image_Mask_raw_image\images\000000126.jpg,Task_Image_Mask_raw_image\random_mask\000000126.png +382,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000127,Task_Image_Mask_raw_image\images\000000127.jpg,Task_Image_Mask_raw_image\random_mask\000000127.png +383,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000127,Task_Image_Mask_raw_image\images\000000127.jpg,Task_Image_Mask_raw_image\random_mask\000000127.png +384,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000127,Task_Image_Mask_raw_image\images\000000127.jpg,Task_Image_Mask_raw_image\random_mask\000000127.png +385,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000128,Task_Image_Mask_raw_image\images\000000128.jpg,Task_Image_Mask_raw_image\random_mask\000000128.png +386,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000128,Task_Image_Mask_raw_image\images\000000128.jpg,Task_Image_Mask_raw_image\random_mask\000000128.png +387,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000128,Task_Image_Mask_raw_image\images\000000128.jpg,Task_Image_Mask_raw_image\random_mask\000000128.png +388,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000129,Task_Image_Mask_raw_image\images\000000129.jpg,Task_Image_Mask_raw_image\random_mask\000000129.png +389,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000129,Task_Image_Mask_raw_image\images\000000129.jpg,Task_Image_Mask_raw_image\random_mask\000000129.png +390,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000129,Task_Image_Mask_raw_image\images\000000129.jpg,Task_Image_Mask_raw_image\random_mask\000000129.png +391,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000130,Task_Image_Mask_raw_image\images\000000130.jpg,Task_Image_Mask_raw_image\random_mask\000000130.png +392,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000130,Task_Image_Mask_raw_image\images\000000130.jpg,Task_Image_Mask_raw_image\random_mask\000000130.png +393,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000130,Task_Image_Mask_raw_image\images\000000130.jpg,Task_Image_Mask_raw_image\random_mask\000000130.png +394,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000131,Task_Image_Mask_raw_image\images\000000131.jpg,Task_Image_Mask_raw_image\random_mask\000000131.png +395,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000131,Task_Image_Mask_raw_image\images\000000131.jpg,Task_Image_Mask_raw_image\random_mask\000000131.png +396,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000131,Task_Image_Mask_raw_image\images\000000131.jpg,Task_Image_Mask_raw_image\random_mask\000000131.png +397,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000132,Task_Image_Mask_raw_image\images\000000132.jpg,Task_Image_Mask_raw_image\random_mask\000000132.png +398,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000132,Task_Image_Mask_raw_image\images\000000132.jpg,Task_Image_Mask_raw_image\random_mask\000000132.png +399,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000132,Task_Image_Mask_raw_image\images\000000132.jpg,Task_Image_Mask_raw_image\random_mask\000000132.png +400,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000133,Task_Image_Mask_raw_image\images\000000133.jpg,Task_Image_Mask_raw_image\random_mask\000000133.png +401,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000133,Task_Image_Mask_raw_image\images\000000133.jpg,Task_Image_Mask_raw_image\random_mask\000000133.png +402,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000133,Task_Image_Mask_raw_image\images\000000133.jpg,Task_Image_Mask_raw_image\random_mask\000000133.png +403,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000134,Task_Image_Mask_raw_image\images\000000134.jpg,Task_Image_Mask_raw_image\random_mask\000000134.png +404,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000134,Task_Image_Mask_raw_image\images\000000134.jpg,Task_Image_Mask_raw_image\random_mask\000000134.png +405,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000134,Task_Image_Mask_raw_image\images\000000134.jpg,Task_Image_Mask_raw_image\random_mask\000000134.png +406,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000135,Task_Image_Mask_raw_image\images\000000135.jpg,Task_Image_Mask_raw_image\random_mask\000000135.png +407,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000135,Task_Image_Mask_raw_image\images\000000135.jpg,Task_Image_Mask_raw_image\random_mask\000000135.png +408,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000135,Task_Image_Mask_raw_image\images\000000135.jpg,Task_Image_Mask_raw_image\random_mask\000000135.png +409,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000136,Task_Image_Mask_raw_image\images\000000136.jpg,Task_Image_Mask_raw_image\random_mask\000000136.png +410,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000136,Task_Image_Mask_raw_image\images\000000136.jpg,Task_Image_Mask_raw_image\random_mask\000000136.png +411,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000136,Task_Image_Mask_raw_image\images\000000136.jpg,Task_Image_Mask_raw_image\random_mask\000000136.png +412,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000137,Task_Image_Mask_raw_image\images\000000137.jpg,Task_Image_Mask_raw_image\random_mask\000000137.png +413,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000137,Task_Image_Mask_raw_image\images\000000137.jpg,Task_Image_Mask_raw_image\random_mask\000000137.png +414,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000137,Task_Image_Mask_raw_image\images\000000137.jpg,Task_Image_Mask_raw_image\random_mask\000000137.png +415,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000138,Task_Image_Mask_raw_image\images\000000138.jpg,Task_Image_Mask_raw_image\random_mask\000000138.png +416,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000138,Task_Image_Mask_raw_image\images\000000138.jpg,Task_Image_Mask_raw_image\random_mask\000000138.png +417,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000138,Task_Image_Mask_raw_image\images\000000138.jpg,Task_Image_Mask_raw_image\random_mask\000000138.png +418,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000139,Task_Image_Mask_raw_image\images\000000139.jpg,Task_Image_Mask_raw_image\random_mask\000000139.png +419,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000139,Task_Image_Mask_raw_image\images\000000139.jpg,Task_Image_Mask_raw_image\random_mask\000000139.png +420,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000139,Task_Image_Mask_raw_image\images\000000139.jpg,Task_Image_Mask_raw_image\random_mask\000000139.png +421,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000140,Task_Image_Mask_raw_image\images\000000140.jpg,Task_Image_Mask_raw_image\random_mask\000000140.png +422,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000140,Task_Image_Mask_raw_image\images\000000140.jpg,Task_Image_Mask_raw_image\random_mask\000000140.png +423,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000140,Task_Image_Mask_raw_image\images\000000140.jpg,Task_Image_Mask_raw_image\random_mask\000000140.png +424,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000141,Task_Image_Mask_raw_image\images\000000141.jpg,Task_Image_Mask_raw_image\random_mask\000000141.png +425,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000141,Task_Image_Mask_raw_image\images\000000141.jpg,Task_Image_Mask_raw_image\random_mask\000000141.png +426,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000141,Task_Image_Mask_raw_image\images\000000141.jpg,Task_Image_Mask_raw_image\random_mask\000000141.png +427,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000142,Task_Image_Mask_raw_image\images\000000142.jpg,Task_Image_Mask_raw_image\random_mask\000000142.png +428,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000142,Task_Image_Mask_raw_image\images\000000142.jpg,Task_Image_Mask_raw_image\random_mask\000000142.png +429,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000142,Task_Image_Mask_raw_image\images\000000142.jpg,Task_Image_Mask_raw_image\random_mask\000000142.png +430,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000143,Task_Image_Mask_raw_image\images\000000143.jpg,Task_Image_Mask_raw_image\random_mask\000000143.png +431,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000143,Task_Image_Mask_raw_image\images\000000143.jpg,Task_Image_Mask_raw_image\random_mask\000000143.png +432,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000143,Task_Image_Mask_raw_image\images\000000143.jpg,Task_Image_Mask_raw_image\random_mask\000000143.png +433,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000144,Task_Image_Mask_raw_image\images\000000144.jpg,Task_Image_Mask_raw_image\random_mask\000000144.png +434,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000144,Task_Image_Mask_raw_image\images\000000144.jpg,Task_Image_Mask_raw_image\random_mask\000000144.png +435,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000144,Task_Image_Mask_raw_image\images\000000144.jpg,Task_Image_Mask_raw_image\random_mask\000000144.png +436,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000145,Task_Image_Mask_raw_image\images\000000145.jpg,Task_Image_Mask_raw_image\random_mask\000000145.png +437,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000145,Task_Image_Mask_raw_image\images\000000145.jpg,Task_Image_Mask_raw_image\random_mask\000000145.png +438,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000145,Task_Image_Mask_raw_image\images\000000145.jpg,Task_Image_Mask_raw_image\random_mask\000000145.png +439,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000146,Task_Image_Mask_raw_image\images\000000146.jpg,Task_Image_Mask_raw_image\random_mask\000000146.png +440,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000146,Task_Image_Mask_raw_image\images\000000146.jpg,Task_Image_Mask_raw_image\random_mask\000000146.png +441,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000146,Task_Image_Mask_raw_image\images\000000146.jpg,Task_Image_Mask_raw_image\random_mask\000000146.png +442,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000147,Task_Image_Mask_raw_image\images\000000147.jpg,Task_Image_Mask_raw_image\random_mask\000000147.png +443,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000147,Task_Image_Mask_raw_image\images\000000147.jpg,Task_Image_Mask_raw_image\random_mask\000000147.png +444,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000147,Task_Image_Mask_raw_image\images\000000147.jpg,Task_Image_Mask_raw_image\random_mask\000000147.png +445,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000148,Task_Image_Mask_raw_image\images\000000148.jpg,Task_Image_Mask_raw_image\random_mask\000000148.png +446,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000148,Task_Image_Mask_raw_image\images\000000148.jpg,Task_Image_Mask_raw_image\random_mask\000000148.png +447,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000148,Task_Image_Mask_raw_image\images\000000148.jpg,Task_Image_Mask_raw_image\random_mask\000000148.png +448,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000149,Task_Image_Mask_raw_image\images\000000149.jpg,Task_Image_Mask_raw_image\random_mask\000000149.png +449,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000149,Task_Image_Mask_raw_image\images\000000149.jpg,Task_Image_Mask_raw_image\random_mask\000000149.png +450,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000149,Task_Image_Mask_raw_image\images\000000149.jpg,Task_Image_Mask_raw_image\random_mask\000000149.png +451,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000150,Task_Image_Mask_raw_image\images\000000150.jpg,Task_Image_Mask_raw_image\random_mask\000000150.png +452,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000150,Task_Image_Mask_raw_image\images\000000150.jpg,Task_Image_Mask_raw_image\random_mask\000000150.png +453,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000150,Task_Image_Mask_raw_image\images\000000150.jpg,Task_Image_Mask_raw_image\random_mask\000000150.png +454,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000151,Task_Image_Mask_raw_image\images\000000151.jpg,Task_Image_Mask_raw_image\random_mask\000000151.png +455,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000151,Task_Image_Mask_raw_image\images\000000151.jpg,Task_Image_Mask_raw_image\random_mask\000000151.png +456,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000151,Task_Image_Mask_raw_image\images\000000151.jpg,Task_Image_Mask_raw_image\random_mask\000000151.png +457,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000152,Task_Image_Mask_raw_image\images\000000152.jpg,Task_Image_Mask_raw_image\random_mask\000000152.png +458,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000152,Task_Image_Mask_raw_image\images\000000152.jpg,Task_Image_Mask_raw_image\random_mask\000000152.png +459,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000152,Task_Image_Mask_raw_image\images\000000152.jpg,Task_Image_Mask_raw_image\random_mask\000000152.png +460,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000153,Task_Image_Mask_raw_image\images\000000153.jpg,Task_Image_Mask_raw_image\random_mask\000000153.png +461,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000153,Task_Image_Mask_raw_image\images\000000153.jpg,Task_Image_Mask_raw_image\random_mask\000000153.png +462,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000153,Task_Image_Mask_raw_image\images\000000153.jpg,Task_Image_Mask_raw_image\random_mask\000000153.png +463,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000154,Task_Image_Mask_raw_image\images\000000154.jpg,Task_Image_Mask_raw_image\random_mask\000000154.png +464,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000154,Task_Image_Mask_raw_image\images\000000154.jpg,Task_Image_Mask_raw_image\random_mask\000000154.png +465,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000154,Task_Image_Mask_raw_image\images\000000154.jpg,Task_Image_Mask_raw_image\random_mask\000000154.png +466,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000155,Task_Image_Mask_raw_image\images\000000155.jpg,Task_Image_Mask_raw_image\random_mask\000000155.png +467,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000155,Task_Image_Mask_raw_image\images\000000155.jpg,Task_Image_Mask_raw_image\random_mask\000000155.png +468,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000155,Task_Image_Mask_raw_image\images\000000155.jpg,Task_Image_Mask_raw_image\random_mask\000000155.png +469,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000156,Task_Image_Mask_raw_image\images\000000156.jpg,Task_Image_Mask_raw_image\random_mask\000000156.png +470,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000156,Task_Image_Mask_raw_image\images\000000156.jpg,Task_Image_Mask_raw_image\random_mask\000000156.png +471,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000156,Task_Image_Mask_raw_image\images\000000156.jpg,Task_Image_Mask_raw_image\random_mask\000000156.png +472,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000157,Task_Image_Mask_raw_image\images\000000157.jpg,Task_Image_Mask_raw_image\random_mask\000000157.png +473,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000157,Task_Image_Mask_raw_image\images\000000157.jpg,Task_Image_Mask_raw_image\random_mask\000000157.png +474,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000157,Task_Image_Mask_raw_image\images\000000157.jpg,Task_Image_Mask_raw_image\random_mask\000000157.png +475,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000158,Task_Image_Mask_raw_image\images\000000158.jpg,Task_Image_Mask_raw_image\random_mask\000000158.png +476,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000158,Task_Image_Mask_raw_image\images\000000158.jpg,Task_Image_Mask_raw_image\random_mask\000000158.png +477,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000158,Task_Image_Mask_raw_image\images\000000158.jpg,Task_Image_Mask_raw_image\random_mask\000000158.png +478,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000159,Task_Image_Mask_raw_image\images\000000159.jpg,Task_Image_Mask_raw_image\random_mask\000000159.png +479,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000159,Task_Image_Mask_raw_image\images\000000159.jpg,Task_Image_Mask_raw_image\random_mask\000000159.png +480,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000159,Task_Image_Mask_raw_image\images\000000159.jpg,Task_Image_Mask_raw_image\random_mask\000000159.png +481,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000160,Task_Image_Mask_raw_image\images\000000160.jpg,Task_Image_Mask_raw_image\random_mask\000000160.png +482,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000160,Task_Image_Mask_raw_image\images\000000160.jpg,Task_Image_Mask_raw_image\random_mask\000000160.png +483,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000160,Task_Image_Mask_raw_image\images\000000160.jpg,Task_Image_Mask_raw_image\random_mask\000000160.png +484,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000161,Task_Image_Mask_raw_image\images\000000161.jpg,Task_Image_Mask_raw_image\random_mask\000000161.png +485,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000161,Task_Image_Mask_raw_image\images\000000161.jpg,Task_Image_Mask_raw_image\random_mask\000000161.png +486,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000161,Task_Image_Mask_raw_image\images\000000161.jpg,Task_Image_Mask_raw_image\random_mask\000000161.png +487,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000162,Task_Image_Mask_raw_image\images\000000162.jpg,Task_Image_Mask_raw_image\random_mask\000000162.png +488,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000162,Task_Image_Mask_raw_image\images\000000162.jpg,Task_Image_Mask_raw_image\random_mask\000000162.png +489,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000162,Task_Image_Mask_raw_image\images\000000162.jpg,Task_Image_Mask_raw_image\random_mask\000000162.png +490,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000163,Task_Image_Mask_raw_image\images\000000163.jpg,Task_Image_Mask_raw_image\random_mask\000000163.png +491,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000163,Task_Image_Mask_raw_image\images\000000163.jpg,Task_Image_Mask_raw_image\random_mask\000000163.png +492,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000163,Task_Image_Mask_raw_image\images\000000163.jpg,Task_Image_Mask_raw_image\random_mask\000000163.png +493,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000164,Task_Image_Mask_raw_image\images\000000164.jpg,Task_Image_Mask_raw_image\random_mask\000000164.png +494,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000164,Task_Image_Mask_raw_image\images\000000164.jpg,Task_Image_Mask_raw_image\random_mask\000000164.png +495,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000164,Task_Image_Mask_raw_image\images\000000164.jpg,Task_Image_Mask_raw_image\random_mask\000000164.png +496,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000165,Task_Image_Mask_raw_image\images\000000165.jpg,Task_Image_Mask_raw_image\random_mask\000000165.png +497,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000165,Task_Image_Mask_raw_image\images\000000165.jpg,Task_Image_Mask_raw_image\random_mask\000000165.png +498,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000165,Task_Image_Mask_raw_image\images\000000165.jpg,Task_Image_Mask_raw_image\random_mask\000000165.png +499,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000166,Task_Image_Mask_raw_image\images\000000166.jpg,Task_Image_Mask_raw_image\random_mask\000000166.png +500,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000166,Task_Image_Mask_raw_image\images\000000166.jpg,Task_Image_Mask_raw_image\random_mask\000000166.png +501,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000166,Task_Image_Mask_raw_image\images\000000166.jpg,Task_Image_Mask_raw_image\random_mask\000000166.png +502,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000167,Task_Image_Mask_raw_image\images\000000167.jpg,Task_Image_Mask_raw_image\random_mask\000000167.png +503,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000167,Task_Image_Mask_raw_image\images\000000167.jpg,Task_Image_Mask_raw_image\random_mask\000000167.png +504,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000167,Task_Image_Mask_raw_image\images\000000167.jpg,Task_Image_Mask_raw_image\random_mask\000000167.png +505,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000168,Task_Image_Mask_raw_image\images\000000168.jpg,Task_Image_Mask_raw_image\random_mask\000000168.png +506,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000168,Task_Image_Mask_raw_image\images\000000168.jpg,Task_Image_Mask_raw_image\random_mask\000000168.png +507,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000168,Task_Image_Mask_raw_image\images\000000168.jpg,Task_Image_Mask_raw_image\random_mask\000000168.png +508,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000169,Task_Image_Mask_raw_image\images\000000169.jpg,Task_Image_Mask_raw_image\random_mask\000000169.png +509,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000169,Task_Image_Mask_raw_image\images\000000169.jpg,Task_Image_Mask_raw_image\random_mask\000000169.png +510,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000169,Task_Image_Mask_raw_image\images\000000169.jpg,Task_Image_Mask_raw_image\random_mask\000000169.png +511,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000170,Task_Image_Mask_raw_image\images\000000170.jpg,Task_Image_Mask_raw_image\random_mask\000000170.png +512,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000170,Task_Image_Mask_raw_image\images\000000170.jpg,Task_Image_Mask_raw_image\random_mask\000000170.png +513,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000170,Task_Image_Mask_raw_image\images\000000170.jpg,Task_Image_Mask_raw_image\random_mask\000000170.png +514,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000171,Task_Image_Mask_raw_image\images\000000171.jpg,Task_Image_Mask_raw_image\random_mask\000000171.png +515,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000171,Task_Image_Mask_raw_image\images\000000171.jpg,Task_Image_Mask_raw_image\random_mask\000000171.png +516,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000171,Task_Image_Mask_raw_image\images\000000171.jpg,Task_Image_Mask_raw_image\random_mask\000000171.png +517,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000172,Task_Image_Mask_raw_image\images\000000172.jpg,Task_Image_Mask_raw_image\random_mask\000000172.png +518,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000172,Task_Image_Mask_raw_image\images\000000172.jpg,Task_Image_Mask_raw_image\random_mask\000000172.png +519,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000172,Task_Image_Mask_raw_image\images\000000172.jpg,Task_Image_Mask_raw_image\random_mask\000000172.png +520,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000173,Task_Image_Mask_raw_image\images\000000173.jpg,Task_Image_Mask_raw_image\random_mask\000000173.png +521,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000173,Task_Image_Mask_raw_image\images\000000173.jpg,Task_Image_Mask_raw_image\random_mask\000000173.png +522,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000173,Task_Image_Mask_raw_image\images\000000173.jpg,Task_Image_Mask_raw_image\random_mask\000000173.png +523,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000174,Task_Image_Mask_raw_image\images\000000174.jpg,Task_Image_Mask_raw_image\random_mask\000000174.png +524,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000174,Task_Image_Mask_raw_image\images\000000174.jpg,Task_Image_Mask_raw_image\random_mask\000000174.png +525,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000174,Task_Image_Mask_raw_image\images\000000174.jpg,Task_Image_Mask_raw_image\random_mask\000000174.png +526,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000175,Task_Image_Mask_raw_image\images\000000175.jpg,Task_Image_Mask_raw_image\random_mask\000000175.png +527,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000175,Task_Image_Mask_raw_image\images\000000175.jpg,Task_Image_Mask_raw_image\random_mask\000000175.png +528,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000175,Task_Image_Mask_raw_image\images\000000175.jpg,Task_Image_Mask_raw_image\random_mask\000000175.png +529,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000176,Task_Image_Mask_raw_image\images\000000176.jpg,Task_Image_Mask_raw_image\random_mask\000000176.png +530,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000176,Task_Image_Mask_raw_image\images\000000176.jpg,Task_Image_Mask_raw_image\random_mask\000000176.png +531,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000176,Task_Image_Mask_raw_image\images\000000176.jpg,Task_Image_Mask_raw_image\random_mask\000000176.png +532,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000177,Task_Image_Mask_raw_image\images\000000177.jpg,Task_Image_Mask_raw_image\random_mask\000000177.png +533,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000177,Task_Image_Mask_raw_image\images\000000177.jpg,Task_Image_Mask_raw_image\random_mask\000000177.png +534,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000177,Task_Image_Mask_raw_image\images\000000177.jpg,Task_Image_Mask_raw_image\random_mask\000000177.png +535,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000178,Task_Image_Mask_raw_image\images\000000178.jpg,Task_Image_Mask_raw_image\random_mask\000000178.png +536,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000178,Task_Image_Mask_raw_image\images\000000178.jpg,Task_Image_Mask_raw_image\random_mask\000000178.png +537,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000178,Task_Image_Mask_raw_image\images\000000178.jpg,Task_Image_Mask_raw_image\random_mask\000000178.png +538,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000179,Task_Image_Mask_raw_image\images\000000179.jpg,Task_Image_Mask_raw_image\random_mask\000000179.png +539,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000179,Task_Image_Mask_raw_image\images\000000179.jpg,Task_Image_Mask_raw_image\random_mask\000000179.png +540,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000179,Task_Image_Mask_raw_image\images\000000179.jpg,Task_Image_Mask_raw_image\random_mask\000000179.png +541,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000180,Task_Image_Mask_raw_image\images\000000180.jpg,Task_Image_Mask_raw_image\random_mask\000000180.png +542,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000180,Task_Image_Mask_raw_image\images\000000180.jpg,Task_Image_Mask_raw_image\random_mask\000000180.png +543,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000180,Task_Image_Mask_raw_image\images\000000180.jpg,Task_Image_Mask_raw_image\random_mask\000000180.png +544,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000181,Task_Image_Mask_raw_image\images\000000181.jpg,Task_Image_Mask_raw_image\random_mask\000000181.png +545,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000181,Task_Image_Mask_raw_image\images\000000181.jpg,Task_Image_Mask_raw_image\random_mask\000000181.png +546,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000181,Task_Image_Mask_raw_image\images\000000181.jpg,Task_Image_Mask_raw_image\random_mask\000000181.png +547,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000182,Task_Image_Mask_raw_image\images\000000182.jpg,Task_Image_Mask_raw_image\random_mask\000000182.png +548,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000182,Task_Image_Mask_raw_image\images\000000182.jpg,Task_Image_Mask_raw_image\random_mask\000000182.png +549,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000182,Task_Image_Mask_raw_image\images\000000182.jpg,Task_Image_Mask_raw_image\random_mask\000000182.png +550,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000183,Task_Image_Mask_raw_image\images\000000183.jpg,Task_Image_Mask_raw_image\random_mask\000000183.png +551,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000183,Task_Image_Mask_raw_image\images\000000183.jpg,Task_Image_Mask_raw_image\random_mask\000000183.png +552,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000183,Task_Image_Mask_raw_image\images\000000183.jpg,Task_Image_Mask_raw_image\random_mask\000000183.png +553,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000184,Task_Image_Mask_raw_image\images\000000184.jpg,Task_Image_Mask_raw_image\random_mask\000000184.png +554,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000184,Task_Image_Mask_raw_image\images\000000184.jpg,Task_Image_Mask_raw_image\random_mask\000000184.png +555,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000184,Task_Image_Mask_raw_image\images\000000184.jpg,Task_Image_Mask_raw_image\random_mask\000000184.png +556,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000185,Task_Image_Mask_raw_image\images\000000185.jpg,Task_Image_Mask_raw_image\random_mask\000000185.png +557,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000185,Task_Image_Mask_raw_image\images\000000185.jpg,Task_Image_Mask_raw_image\random_mask\000000185.png +558,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000185,Task_Image_Mask_raw_image\images\000000185.jpg,Task_Image_Mask_raw_image\random_mask\000000185.png +559,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000186,Task_Image_Mask_raw_image\images\000000186.jpg,Task_Image_Mask_raw_image\random_mask\000000186.png +560,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000186,Task_Image_Mask_raw_image\images\000000186.jpg,Task_Image_Mask_raw_image\random_mask\000000186.png +561,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000186,Task_Image_Mask_raw_image\images\000000186.jpg,Task_Image_Mask_raw_image\random_mask\000000186.png +562,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000187,Task_Image_Mask_raw_image\images\000000187.jpg,Task_Image_Mask_raw_image\random_mask\000000187.png +563,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000187,Task_Image_Mask_raw_image\images\000000187.jpg,Task_Image_Mask_raw_image\random_mask\000000187.png +564,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000187,Task_Image_Mask_raw_image\images\000000187.jpg,Task_Image_Mask_raw_image\random_mask\000000187.png +565,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000188,Task_Image_Mask_raw_image\images\000000188.jpg,Task_Image_Mask_raw_image\random_mask\000000188.png +566,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000188,Task_Image_Mask_raw_image\images\000000188.jpg,Task_Image_Mask_raw_image\random_mask\000000188.png +567,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000188,Task_Image_Mask_raw_image\images\000000188.jpg,Task_Image_Mask_raw_image\random_mask\000000188.png +568,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000189,Task_Image_Mask_raw_image\images\000000189.jpg,Task_Image_Mask_raw_image\random_mask\000000189.png +569,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000189,Task_Image_Mask_raw_image\images\000000189.jpg,Task_Image_Mask_raw_image\random_mask\000000189.png +570,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000189,Task_Image_Mask_raw_image\images\000000189.jpg,Task_Image_Mask_raw_image\random_mask\000000189.png +571,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000190,Task_Image_Mask_raw_image\images\000000190.jpg,Task_Image_Mask_raw_image\random_mask\000000190.png +572,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000190,Task_Image_Mask_raw_image\images\000000190.jpg,Task_Image_Mask_raw_image\random_mask\000000190.png +573,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000190,Task_Image_Mask_raw_image\images\000000190.jpg,Task_Image_Mask_raw_image\random_mask\000000190.png +574,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000191,Task_Image_Mask_raw_image\images\000000191.jpg,Task_Image_Mask_raw_image\random_mask\000000191.png +575,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000191,Task_Image_Mask_raw_image\images\000000191.jpg,Task_Image_Mask_raw_image\random_mask\000000191.png +576,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000191,Task_Image_Mask_raw_image\images\000000191.jpg,Task_Image_Mask_raw_image\random_mask\000000191.png +577,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000192,Task_Image_Mask_raw_image\images\000000192.jpg,Task_Image_Mask_raw_image\random_mask\000000192.png +578,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000192,Task_Image_Mask_raw_image\images\000000192.jpg,Task_Image_Mask_raw_image\random_mask\000000192.png +579,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000192,Task_Image_Mask_raw_image\images\000000192.jpg,Task_Image_Mask_raw_image\random_mask\000000192.png +580,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000193,Task_Image_Mask_raw_image\images\000000193.jpg,Task_Image_Mask_raw_image\random_mask\000000193.png +581,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000193,Task_Image_Mask_raw_image\images\000000193.jpg,Task_Image_Mask_raw_image\random_mask\000000193.png +582,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000193,Task_Image_Mask_raw_image\images\000000193.jpg,Task_Image_Mask_raw_image\random_mask\000000193.png +583,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000194,Task_Image_Mask_raw_image\images\000000194.jpg,Task_Image_Mask_raw_image\random_mask\000000194.png +584,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000194,Task_Image_Mask_raw_image\images\000000194.jpg,Task_Image_Mask_raw_image\random_mask\000000194.png +585,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000194,Task_Image_Mask_raw_image\images\000000194.jpg,Task_Image_Mask_raw_image\random_mask\000000194.png +586,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000195,Task_Image_Mask_raw_image\images\000000195.jpg,Task_Image_Mask_raw_image\random_mask\000000195.png +587,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000195,Task_Image_Mask_raw_image\images\000000195.jpg,Task_Image_Mask_raw_image\random_mask\000000195.png +588,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000195,Task_Image_Mask_raw_image\images\000000195.jpg,Task_Image_Mask_raw_image\random_mask\000000195.png +589,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000196,Task_Image_Mask_raw_image\images\000000196.jpg,Task_Image_Mask_raw_image\random_mask\000000196.png +590,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000196,Task_Image_Mask_raw_image\images\000000196.jpg,Task_Image_Mask_raw_image\random_mask\000000196.png +591,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000196,Task_Image_Mask_raw_image\images\000000196.jpg,Task_Image_Mask_raw_image\random_mask\000000196.png +592,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000197,Task_Image_Mask_raw_image\images\000000197.jpg,Task_Image_Mask_raw_image\random_mask\000000197.png +593,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000197,Task_Image_Mask_raw_image\images\000000197.jpg,Task_Image_Mask_raw_image\random_mask\000000197.png +594,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000197,Task_Image_Mask_raw_image\images\000000197.jpg,Task_Image_Mask_raw_image\random_mask\000000197.png +595,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000198,Task_Image_Mask_raw_image\images\000000198.jpg,Task_Image_Mask_raw_image\random_mask\000000198.png +596,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000198,Task_Image_Mask_raw_image\images\000000198.jpg,Task_Image_Mask_raw_image\random_mask\000000198.png +597,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000198,Task_Image_Mask_raw_image\images\000000198.jpg,Task_Image_Mask_raw_image\random_mask\000000198.png +598,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000199,Task_Image_Mask_raw_image\images\000000199.jpg,Task_Image_Mask_raw_image\random_mask\000000199.png +599,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000199,Task_Image_Mask_raw_image\images\000000199.jpg,Task_Image_Mask_raw_image\random_mask\000000199.png +600,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000199,Task_Image_Mask_raw_image\images\000000199.jpg,Task_Image_Mask_raw_image\random_mask\000000199.png +601,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000200,Task_Image_Mask_raw_image\images\000000200.jpg,Task_Image_Mask_raw_image\random_mask\000000200.png +602,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000200,Task_Image_Mask_raw_image\images\000000200.jpg,Task_Image_Mask_raw_image\random_mask\000000200.png +603,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000200,Task_Image_Mask_raw_image\images\000000200.jpg,Task_Image_Mask_raw_image\random_mask\000000200.png +604,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000201,Task_Image_Mask_raw_image\images\000000201.jpg,Task_Image_Mask_raw_image\random_mask\000000201.png +605,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000201,Task_Image_Mask_raw_image\images\000000201.jpg,Task_Image_Mask_raw_image\random_mask\000000201.png +606,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000201,Task_Image_Mask_raw_image\images\000000201.jpg,Task_Image_Mask_raw_image\random_mask\000000201.png +607,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000202,Task_Image_Mask_raw_image\images\000000202.jpg,Task_Image_Mask_raw_image\random_mask\000000202.png +608,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000202,Task_Image_Mask_raw_image\images\000000202.jpg,Task_Image_Mask_raw_image\random_mask\000000202.png +609,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000202,Task_Image_Mask_raw_image\images\000000202.jpg,Task_Image_Mask_raw_image\random_mask\000000202.png +610,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000203,Task_Image_Mask_raw_image\images\000000203.jpg,Task_Image_Mask_raw_image\random_mask\000000203.png +611,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000203,Task_Image_Mask_raw_image\images\000000203.jpg,Task_Image_Mask_raw_image\random_mask\000000203.png +612,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000203,Task_Image_Mask_raw_image\images\000000203.jpg,Task_Image_Mask_raw_image\random_mask\000000203.png +613,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000204,Task_Image_Mask_raw_image\images\000000204.jpg,Task_Image_Mask_raw_image\random_mask\000000204.png +614,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000204,Task_Image_Mask_raw_image\images\000000204.jpg,Task_Image_Mask_raw_image\random_mask\000000204.png +615,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000204,Task_Image_Mask_raw_image\images\000000204.jpg,Task_Image_Mask_raw_image\random_mask\000000204.png +616,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000205,Task_Image_Mask_raw_image\images\000000205.jpg,Task_Image_Mask_raw_image\random_mask\000000205.png +617,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000205,Task_Image_Mask_raw_image\images\000000205.jpg,Task_Image_Mask_raw_image\random_mask\000000205.png +618,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000205,Task_Image_Mask_raw_image\images\000000205.jpg,Task_Image_Mask_raw_image\random_mask\000000205.png +619,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000206,Task_Image_Mask_raw_image\images\000000206.jpg,Task_Image_Mask_raw_image\random_mask\000000206.png +620,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000206,Task_Image_Mask_raw_image\images\000000206.jpg,Task_Image_Mask_raw_image\random_mask\000000206.png +621,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000206,Task_Image_Mask_raw_image\images\000000206.jpg,Task_Image_Mask_raw_image\random_mask\000000206.png +622,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000207,Task_Image_Mask_raw_image\images\000000207.jpg,Task_Image_Mask_raw_image\random_mask\000000207.png +623,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000207,Task_Image_Mask_raw_image\images\000000207.jpg,Task_Image_Mask_raw_image\random_mask\000000207.png +624,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000207,Task_Image_Mask_raw_image\images\000000207.jpg,Task_Image_Mask_raw_image\random_mask\000000207.png +625,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000208,Task_Image_Mask_raw_image\images\000000208.jpg,Task_Image_Mask_raw_image\random_mask\000000208.png +626,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000208,Task_Image_Mask_raw_image\images\000000208.jpg,Task_Image_Mask_raw_image\random_mask\000000208.png +627,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000208,Task_Image_Mask_raw_image\images\000000208.jpg,Task_Image_Mask_raw_image\random_mask\000000208.png +628,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000209,Task_Image_Mask_raw_image\images\000000209.jpg,Task_Image_Mask_raw_image\random_mask\000000209.png +629,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000209,Task_Image_Mask_raw_image\images\000000209.jpg,Task_Image_Mask_raw_image\random_mask\000000209.png +630,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000209,Task_Image_Mask_raw_image\images\000000209.jpg,Task_Image_Mask_raw_image\random_mask\000000209.png +631,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000210,Task_Image_Mask_raw_image\images\000000210.jpg,Task_Image_Mask_raw_image\random_mask\000000210.png +632,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000210,Task_Image_Mask_raw_image\images\000000210.jpg,Task_Image_Mask_raw_image\random_mask\000000210.png +633,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000210,Task_Image_Mask_raw_image\images\000000210.jpg,Task_Image_Mask_raw_image\random_mask\000000210.png +634,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000211,Task_Image_Mask_raw_image\images\000000211.jpg,Task_Image_Mask_raw_image\random_mask\000000211.png +635,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000211,Task_Image_Mask_raw_image\images\000000211.jpg,Task_Image_Mask_raw_image\random_mask\000000211.png +636,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000211,Task_Image_Mask_raw_image\images\000000211.jpg,Task_Image_Mask_raw_image\random_mask\000000211.png +637,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000212,Task_Image_Mask_raw_image\images\000000212.jpg,Task_Image_Mask_raw_image\random_mask\000000212.png +638,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000212,Task_Image_Mask_raw_image\images\000000212.jpg,Task_Image_Mask_raw_image\random_mask\000000212.png +639,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000212,Task_Image_Mask_raw_image\images\000000212.jpg,Task_Image_Mask_raw_image\random_mask\000000212.png +640,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000213,Task_Image_Mask_raw_image\images\000000213.jpg,Task_Image_Mask_raw_image\random_mask\000000213.png +641,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000213,Task_Image_Mask_raw_image\images\000000213.jpg,Task_Image_Mask_raw_image\random_mask\000000213.png +642,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000213,Task_Image_Mask_raw_image\images\000000213.jpg,Task_Image_Mask_raw_image\random_mask\000000213.png +643,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000214,Task_Image_Mask_raw_image\images\000000214.jpg,Task_Image_Mask_raw_image\random_mask\000000214.png +644,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000214,Task_Image_Mask_raw_image\images\000000214.jpg,Task_Image_Mask_raw_image\random_mask\000000214.png +645,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000214,Task_Image_Mask_raw_image\images\000000214.jpg,Task_Image_Mask_raw_image\random_mask\000000214.png +646,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000215,Task_Image_Mask_raw_image\images\000000215.jpg,Task_Image_Mask_raw_image\random_mask\000000215.png +647,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000215,Task_Image_Mask_raw_image\images\000000215.jpg,Task_Image_Mask_raw_image\random_mask\000000215.png +648,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000215,Task_Image_Mask_raw_image\images\000000215.jpg,Task_Image_Mask_raw_image\random_mask\000000215.png +649,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000216,Task_Image_Mask_raw_image\images\000000216.jpg,Task_Image_Mask_raw_image\random_mask\000000216.png +650,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000216,Task_Image_Mask_raw_image\images\000000216.jpg,Task_Image_Mask_raw_image\random_mask\000000216.png +651,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000216,Task_Image_Mask_raw_image\images\000000216.jpg,Task_Image_Mask_raw_image\random_mask\000000216.png +652,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000217,Task_Image_Mask_raw_image\images\000000217.jpg,Task_Image_Mask_raw_image\random_mask\000000217.png +653,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000217,Task_Image_Mask_raw_image\images\000000217.jpg,Task_Image_Mask_raw_image\random_mask\000000217.png +654,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000217,Task_Image_Mask_raw_image\images\000000217.jpg,Task_Image_Mask_raw_image\random_mask\000000217.png +655,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000218,Task_Image_Mask_raw_image\images\000000218.jpg,Task_Image_Mask_raw_image\random_mask\000000218.png +656,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000218,Task_Image_Mask_raw_image\images\000000218.jpg,Task_Image_Mask_raw_image\random_mask\000000218.png +657,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000218,Task_Image_Mask_raw_image\images\000000218.jpg,Task_Image_Mask_raw_image\random_mask\000000218.png +658,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000219,Task_Image_Mask_raw_image\images\000000219.jpg,Task_Image_Mask_raw_image\random_mask\000000219.png +659,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000219,Task_Image_Mask_raw_image\images\000000219.jpg,Task_Image_Mask_raw_image\random_mask\000000219.png +660,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000219,Task_Image_Mask_raw_image\images\000000219.jpg,Task_Image_Mask_raw_image\random_mask\000000219.png +661,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000220,Task_Image_Mask_raw_image\images\000000220.jpg,Task_Image_Mask_raw_image\random_mask\000000220.png +662,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000220,Task_Image_Mask_raw_image\images\000000220.jpg,Task_Image_Mask_raw_image\random_mask\000000220.png +663,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000220,Task_Image_Mask_raw_image\images\000000220.jpg,Task_Image_Mask_raw_image\random_mask\000000220.png +664,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000221,Task_Image_Mask_raw_image\images\000000221.jpg,Task_Image_Mask_raw_image\random_mask\000000221.png +665,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000221,Task_Image_Mask_raw_image\images\000000221.jpg,Task_Image_Mask_raw_image\random_mask\000000221.png +666,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000221,Task_Image_Mask_raw_image\images\000000221.jpg,Task_Image_Mask_raw_image\random_mask\000000221.png +667,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000222,Task_Image_Mask_raw_image\images\000000222.jpg,Task_Image_Mask_raw_image\random_mask\000000222.png +668,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000222,Task_Image_Mask_raw_image\images\000000222.jpg,Task_Image_Mask_raw_image\random_mask\000000222.png +669,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000222,Task_Image_Mask_raw_image\images\000000222.jpg,Task_Image_Mask_raw_image\random_mask\000000222.png +670,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000223,Task_Image_Mask_raw_image\images\000000223.jpg,Task_Image_Mask_raw_image\random_mask\000000223.png +671,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000223,Task_Image_Mask_raw_image\images\000000223.jpg,Task_Image_Mask_raw_image\random_mask\000000223.png +672,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000223,Task_Image_Mask_raw_image\images\000000223.jpg,Task_Image_Mask_raw_image\random_mask\000000223.png +673,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000224,Task_Image_Mask_raw_image\images\000000224.jpg,Task_Image_Mask_raw_image\random_mask\000000224.png +674,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000224,Task_Image_Mask_raw_image\images\000000224.jpg,Task_Image_Mask_raw_image\random_mask\000000224.png +675,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000224,Task_Image_Mask_raw_image\images\000000224.jpg,Task_Image_Mask_raw_image\random_mask\000000224.png +676,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000225,Task_Image_Mask_raw_image\images\000000225.jpg,Task_Image_Mask_raw_image\random_mask\000000225.png +677,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000225,Task_Image_Mask_raw_image\images\000000225.jpg,Task_Image_Mask_raw_image\random_mask\000000225.png +678,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000225,Task_Image_Mask_raw_image\images\000000225.jpg,Task_Image_Mask_raw_image\random_mask\000000225.png +679,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000226,Task_Image_Mask_raw_image\images\000000226.jpg,Task_Image_Mask_raw_image\random_mask\000000226.png +680,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000226,Task_Image_Mask_raw_image\images\000000226.jpg,Task_Image_Mask_raw_image\random_mask\000000226.png +681,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000226,Task_Image_Mask_raw_image\images\000000226.jpg,Task_Image_Mask_raw_image\random_mask\000000226.png +682,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000227,Task_Image_Mask_raw_image\images\000000227.jpg,Task_Image_Mask_raw_image\random_mask\000000227.png +683,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000227,Task_Image_Mask_raw_image\images\000000227.jpg,Task_Image_Mask_raw_image\random_mask\000000227.png +684,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000227,Task_Image_Mask_raw_image\images\000000227.jpg,Task_Image_Mask_raw_image\random_mask\000000227.png +685,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000228,Task_Image_Mask_raw_image\images\000000228.jpg,Task_Image_Mask_raw_image\random_mask\000000228.png +686,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000228,Task_Image_Mask_raw_image\images\000000228.jpg,Task_Image_Mask_raw_image\random_mask\000000228.png +687,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000228,Task_Image_Mask_raw_image\images\000000228.jpg,Task_Image_Mask_raw_image\random_mask\000000228.png +688,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000229,Task_Image_Mask_raw_image\images\000000229.jpg,Task_Image_Mask_raw_image\random_mask\000000229.png +689,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000229,Task_Image_Mask_raw_image\images\000000229.jpg,Task_Image_Mask_raw_image\random_mask\000000229.png +690,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000229,Task_Image_Mask_raw_image\images\000000229.jpg,Task_Image_Mask_raw_image\random_mask\000000229.png +691,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000230,Task_Image_Mask_raw_image\images\000000230.jpg,Task_Image_Mask_raw_image\random_mask\000000230.png +692,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000230,Task_Image_Mask_raw_image\images\000000230.jpg,Task_Image_Mask_raw_image\random_mask\000000230.png +693,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000230,Task_Image_Mask_raw_image\images\000000230.jpg,Task_Image_Mask_raw_image\random_mask\000000230.png +694,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000231,Task_Image_Mask_raw_image\images\000000231.jpg,Task_Image_Mask_raw_image\random_mask\000000231.png +695,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000231,Task_Image_Mask_raw_image\images\000000231.jpg,Task_Image_Mask_raw_image\random_mask\000000231.png +696,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000231,Task_Image_Mask_raw_image\images\000000231.jpg,Task_Image_Mask_raw_image\random_mask\000000231.png +697,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000232,Task_Image_Mask_raw_image\images\000000232.jpg,Task_Image_Mask_raw_image\random_mask\000000232.png +698,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000232,Task_Image_Mask_raw_image\images\000000232.jpg,Task_Image_Mask_raw_image\random_mask\000000232.png +699,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000232,Task_Image_Mask_raw_image\images\000000232.jpg,Task_Image_Mask_raw_image\random_mask\000000232.png +700,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000233,Task_Image_Mask_raw_image\images\000000233.jpg,Task_Image_Mask_raw_image\random_mask\000000233.png +701,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000233,Task_Image_Mask_raw_image\images\000000233.jpg,Task_Image_Mask_raw_image\random_mask\000000233.png +702,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000233,Task_Image_Mask_raw_image\images\000000233.jpg,Task_Image_Mask_raw_image\random_mask\000000233.png +703,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000234,Task_Image_Mask_raw_image\images\000000234.jpg,Task_Image_Mask_raw_image\random_mask\000000234.png +704,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000234,Task_Image_Mask_raw_image\images\000000234.jpg,Task_Image_Mask_raw_image\random_mask\000000234.png +705,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000234,Task_Image_Mask_raw_image\images\000000234.jpg,Task_Image_Mask_raw_image\random_mask\000000234.png +706,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000235,Task_Image_Mask_raw_image\images\000000235.jpg,Task_Image_Mask_raw_image\random_mask\000000235.png +707,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000235,Task_Image_Mask_raw_image\images\000000235.jpg,Task_Image_Mask_raw_image\random_mask\000000235.png +708,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000235,Task_Image_Mask_raw_image\images\000000235.jpg,Task_Image_Mask_raw_image\random_mask\000000235.png +709,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000236,Task_Image_Mask_raw_image\images\000000236.jpg,Task_Image_Mask_raw_image\random_mask\000000236.png +710,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000236,Task_Image_Mask_raw_image\images\000000236.jpg,Task_Image_Mask_raw_image\random_mask\000000236.png +711,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000236,Task_Image_Mask_raw_image\images\000000236.jpg,Task_Image_Mask_raw_image\random_mask\000000236.png +712,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000237,Task_Image_Mask_raw_image\images\000000237.jpg,Task_Image_Mask_raw_image\random_mask\000000237.png +713,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000237,Task_Image_Mask_raw_image\images\000000237.jpg,Task_Image_Mask_raw_image\random_mask\000000237.png +714,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000237,Task_Image_Mask_raw_image\images\000000237.jpg,Task_Image_Mask_raw_image\random_mask\000000237.png +715,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000238,Task_Image_Mask_raw_image\images\000000238.jpg,Task_Image_Mask_raw_image\random_mask\000000238.png +716,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000238,Task_Image_Mask_raw_image\images\000000238.jpg,Task_Image_Mask_raw_image\random_mask\000000238.png +717,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000238,Task_Image_Mask_raw_image\images\000000238.jpg,Task_Image_Mask_raw_image\random_mask\000000238.png +718,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000239,Task_Image_Mask_raw_image\images\000000239.jpg,Task_Image_Mask_raw_image\random_mask\000000239.png +719,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000239,Task_Image_Mask_raw_image\images\000000239.jpg,Task_Image_Mask_raw_image\random_mask\000000239.png +720,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000239,Task_Image_Mask_raw_image\images\000000239.jpg,Task_Image_Mask_raw_image\random_mask\000000239.png +721,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000240,Task_Image_Mask_raw_image\images\000000240.jpg,Task_Image_Mask_raw_image\random_mask\000000240.png +722,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000240,Task_Image_Mask_raw_image\images\000000240.jpg,Task_Image_Mask_raw_image\random_mask\000000240.png +723,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000240,Task_Image_Mask_raw_image\images\000000240.jpg,Task_Image_Mask_raw_image\random_mask\000000240.png +724,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000241,Task_Image_Mask_raw_image\images\000000241.jpg,Task_Image_Mask_raw_image\random_mask\000000241.png +725,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000241,Task_Image_Mask_raw_image\images\000000241.jpg,Task_Image_Mask_raw_image\random_mask\000000241.png +726,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000241,Task_Image_Mask_raw_image\images\000000241.jpg,Task_Image_Mask_raw_image\random_mask\000000241.png +727,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000242,Task_Image_Mask_raw_image\images\000000242.jpg,Task_Image_Mask_raw_image\random_mask\000000242.png +728,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000242,Task_Image_Mask_raw_image\images\000000242.jpg,Task_Image_Mask_raw_image\random_mask\000000242.png +729,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000242,Task_Image_Mask_raw_image\images\000000242.jpg,Task_Image_Mask_raw_image\random_mask\000000242.png +730,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000243,Task_Image_Mask_raw_image\images\000000243.jpg,Task_Image_Mask_raw_image\random_mask\000000243.png +731,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000243,Task_Image_Mask_raw_image\images\000000243.jpg,Task_Image_Mask_raw_image\random_mask\000000243.png +732,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000243,Task_Image_Mask_raw_image\images\000000243.jpg,Task_Image_Mask_raw_image\random_mask\000000243.png +733,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000244,Task_Image_Mask_raw_image\images\000000244.jpg,Task_Image_Mask_raw_image\random_mask\000000244.png +734,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000244,Task_Image_Mask_raw_image\images\000000244.jpg,Task_Image_Mask_raw_image\random_mask\000000244.png +735,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000244,Task_Image_Mask_raw_image\images\000000244.jpg,Task_Image_Mask_raw_image\random_mask\000000244.png +736,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000245,Task_Image_Mask_raw_image\images\000000245.jpg,Task_Image_Mask_raw_image\random_mask\000000245.png +737,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000245,Task_Image_Mask_raw_image\images\000000245.jpg,Task_Image_Mask_raw_image\random_mask\000000245.png +738,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000245,Task_Image_Mask_raw_image\images\000000245.jpg,Task_Image_Mask_raw_image\random_mask\000000245.png +739,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000246,Task_Image_Mask_raw_image\images\000000246.jpg,Task_Image_Mask_raw_image\random_mask\000000246.png +740,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000246,Task_Image_Mask_raw_image\images\000000246.jpg,Task_Image_Mask_raw_image\random_mask\000000246.png +741,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000246,Task_Image_Mask_raw_image\images\000000246.jpg,Task_Image_Mask_raw_image\random_mask\000000246.png +742,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000247,Task_Image_Mask_raw_image\images\000000247.jpg,Task_Image_Mask_raw_image\random_mask\000000247.png +743,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000247,Task_Image_Mask_raw_image\images\000000247.jpg,Task_Image_Mask_raw_image\random_mask\000000247.png +744,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000247,Task_Image_Mask_raw_image\images\000000247.jpg,Task_Image_Mask_raw_image\random_mask\000000247.png +745,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000248,Task_Image_Mask_raw_image\images\000000248.jpg,Task_Image_Mask_raw_image\random_mask\000000248.png +746,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000248,Task_Image_Mask_raw_image\images\000000248.jpg,Task_Image_Mask_raw_image\random_mask\000000248.png +747,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000248,Task_Image_Mask_raw_image\images\000000248.jpg,Task_Image_Mask_raw_image\random_mask\000000248.png +748,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000249,Task_Image_Mask_raw_image\images\000000249.jpg,Task_Image_Mask_raw_image\random_mask\000000249.png +749,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000249,Task_Image_Mask_raw_image\images\000000249.jpg,Task_Image_Mask_raw_image\random_mask\000000249.png +750,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000249,Task_Image_Mask_raw_image\images\000000249.jpg,Task_Image_Mask_raw_image\random_mask\000000249.png +751,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000250,Task_Image_Mask_raw_image\images\000000250.jpg,Task_Image_Mask_raw_image\random_mask\000000250.png +752,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000250,Task_Image_Mask_raw_image\images\000000250.jpg,Task_Image_Mask_raw_image\random_mask\000000250.png +753,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000250,Task_Image_Mask_raw_image\images\000000250.jpg,Task_Image_Mask_raw_image\random_mask\000000250.png +754,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000251,Task_Image_Mask_raw_image\images\000000251.jpg,Task_Image_Mask_raw_image\random_mask\000000251.png +755,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000251,Task_Image_Mask_raw_image\images\000000251.jpg,Task_Image_Mask_raw_image\random_mask\000000251.png +756,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000251,Task_Image_Mask_raw_image\images\000000251.jpg,Task_Image_Mask_raw_image\random_mask\000000251.png +757,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000252,Task_Image_Mask_raw_image\images\000000252.jpg,Task_Image_Mask_raw_image\random_mask\000000252.png +758,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000252,Task_Image_Mask_raw_image\images\000000252.jpg,Task_Image_Mask_raw_image\random_mask\000000252.png +759,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000252,Task_Image_Mask_raw_image\images\000000252.jpg,Task_Image_Mask_raw_image\random_mask\000000252.png +760,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000253,Task_Image_Mask_raw_image\images\000000253.jpg,Task_Image_Mask_raw_image\random_mask\000000253.png +761,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000253,Task_Image_Mask_raw_image\images\000000253.jpg,Task_Image_Mask_raw_image\random_mask\000000253.png +762,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000253,Task_Image_Mask_raw_image\images\000000253.jpg,Task_Image_Mask_raw_image\random_mask\000000253.png +763,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000254,Task_Image_Mask_raw_image\images\000000254.jpg,Task_Image_Mask_raw_image\random_mask\000000254.png +764,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000254,Task_Image_Mask_raw_image\images\000000254.jpg,Task_Image_Mask_raw_image\random_mask\000000254.png +765,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000254,Task_Image_Mask_raw_image\images\000000254.jpg,Task_Image_Mask_raw_image\random_mask\000000254.png +766,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000255,Task_Image_Mask_raw_image\images\000000255.jpg,Task_Image_Mask_raw_image\random_mask\000000255.png +767,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000255,Task_Image_Mask_raw_image\images\000000255.jpg,Task_Image_Mask_raw_image\random_mask\000000255.png +768,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000255,Task_Image_Mask_raw_image\images\000000255.jpg,Task_Image_Mask_raw_image\random_mask\000000255.png +769,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000256,Task_Image_Mask_raw_image\images\000000256.jpg,Task_Image_Mask_raw_image\random_mask\000000256.png +770,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000256,Task_Image_Mask_raw_image\images\000000256.jpg,Task_Image_Mask_raw_image\random_mask\000000256.png +771,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000256,Task_Image_Mask_raw_image\images\000000256.jpg,Task_Image_Mask_raw_image\random_mask\000000256.png +772,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000257,Task_Image_Mask_raw_image\images\000000257.jpg,Task_Image_Mask_raw_image\random_mask\000000257.png +773,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000257,Task_Image_Mask_raw_image\images\000000257.jpg,Task_Image_Mask_raw_image\random_mask\000000257.png +774,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000257,Task_Image_Mask_raw_image\images\000000257.jpg,Task_Image_Mask_raw_image\random_mask\000000257.png +775,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000258,Task_Image_Mask_raw_image\images\000000258.jpg,Task_Image_Mask_raw_image\random_mask\000000258.png +776,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000258,Task_Image_Mask_raw_image\images\000000258.jpg,Task_Image_Mask_raw_image\random_mask\000000258.png +777,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000258,Task_Image_Mask_raw_image\images\000000258.jpg,Task_Image_Mask_raw_image\random_mask\000000258.png +778,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000259,Task_Image_Mask_raw_image\images\000000259.jpg,Task_Image_Mask_raw_image\random_mask\000000259.png +779,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000259,Task_Image_Mask_raw_image\images\000000259.jpg,Task_Image_Mask_raw_image\random_mask\000000259.png +780,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000259,Task_Image_Mask_raw_image\images\000000259.jpg,Task_Image_Mask_raw_image\random_mask\000000259.png +781,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000260,Task_Image_Mask_raw_image\images\000000260.jpg,Task_Image_Mask_raw_image\random_mask\000000260.png +782,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000260,Task_Image_Mask_raw_image\images\000000260.jpg,Task_Image_Mask_raw_image\random_mask\000000260.png +783,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000260,Task_Image_Mask_raw_image\images\000000260.jpg,Task_Image_Mask_raw_image\random_mask\000000260.png +784,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000261,Task_Image_Mask_raw_image\images\000000261.jpg,Task_Image_Mask_raw_image\random_mask\000000261.png +785,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000261,Task_Image_Mask_raw_image\images\000000261.jpg,Task_Image_Mask_raw_image\random_mask\000000261.png +786,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000261,Task_Image_Mask_raw_image\images\000000261.jpg,Task_Image_Mask_raw_image\random_mask\000000261.png +787,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000262,Task_Image_Mask_raw_image\images\000000262.jpg,Task_Image_Mask_raw_image\random_mask\000000262.png +788,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000262,Task_Image_Mask_raw_image\images\000000262.jpg,Task_Image_Mask_raw_image\random_mask\000000262.png +789,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000262,Task_Image_Mask_raw_image\images\000000262.jpg,Task_Image_Mask_raw_image\random_mask\000000262.png +790,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000263,Task_Image_Mask_raw_image\images\000000263.jpg,Task_Image_Mask_raw_image\random_mask\000000263.png +791,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000263,Task_Image_Mask_raw_image\images\000000263.jpg,Task_Image_Mask_raw_image\random_mask\000000263.png +792,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000263,Task_Image_Mask_raw_image\images\000000263.jpg,Task_Image_Mask_raw_image\random_mask\000000263.png +793,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000264,Task_Image_Mask_raw_image\images\000000264.jpg,Task_Image_Mask_raw_image\random_mask\000000264.png +794,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000264,Task_Image_Mask_raw_image\images\000000264.jpg,Task_Image_Mask_raw_image\random_mask\000000264.png +795,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000264,Task_Image_Mask_raw_image\images\000000264.jpg,Task_Image_Mask_raw_image\random_mask\000000264.png +796,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000265,Task_Image_Mask_raw_image\images\000000265.jpg,Task_Image_Mask_raw_image\random_mask\000000265.png +797,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000265,Task_Image_Mask_raw_image\images\000000265.jpg,Task_Image_Mask_raw_image\random_mask\000000265.png +798,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000265,Task_Image_Mask_raw_image\images\000000265.jpg,Task_Image_Mask_raw_image\random_mask\000000265.png +799,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000266,Task_Image_Mask_raw_image\images\000000266.jpg,Task_Image_Mask_raw_image\random_mask\000000266.png +800,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000266,Task_Image_Mask_raw_image\images\000000266.jpg,Task_Image_Mask_raw_image\random_mask\000000266.png +801,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000266,Task_Image_Mask_raw_image\images\000000266.jpg,Task_Image_Mask_raw_image\random_mask\000000266.png +802,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000267,Task_Image_Mask_raw_image\images\000000267.jpg,Task_Image_Mask_raw_image\random_mask\000000267.png +803,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000267,Task_Image_Mask_raw_image\images\000000267.jpg,Task_Image_Mask_raw_image\random_mask\000000267.png +804,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000267,Task_Image_Mask_raw_image\images\000000267.jpg,Task_Image_Mask_raw_image\random_mask\000000267.png +805,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000268,Task_Image_Mask_raw_image\images\000000268.jpg,Task_Image_Mask_raw_image\random_mask\000000268.png +806,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000268,Task_Image_Mask_raw_image\images\000000268.jpg,Task_Image_Mask_raw_image\random_mask\000000268.png +807,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000268,Task_Image_Mask_raw_image\images\000000268.jpg,Task_Image_Mask_raw_image\random_mask\000000268.png +808,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000269,Task_Image_Mask_raw_image\images\000000269.jpg,Task_Image_Mask_raw_image\random_mask\000000269.png +809,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000269,Task_Image_Mask_raw_image\images\000000269.jpg,Task_Image_Mask_raw_image\random_mask\000000269.png +810,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000269,Task_Image_Mask_raw_image\images\000000269.jpg,Task_Image_Mask_raw_image\random_mask\000000269.png +811,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000270,Task_Image_Mask_raw_image\images\000000270.jpg,Task_Image_Mask_raw_image\random_mask\000000270.png +812,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000270,Task_Image_Mask_raw_image\images\000000270.jpg,Task_Image_Mask_raw_image\random_mask\000000270.png +813,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000270,Task_Image_Mask_raw_image\images\000000270.jpg,Task_Image_Mask_raw_image\random_mask\000000270.png +814,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000271,Task_Image_Mask_raw_image\images\000000271.jpg,Task_Image_Mask_raw_image\random_mask\000000271.png +815,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000271,Task_Image_Mask_raw_image\images\000000271.jpg,Task_Image_Mask_raw_image\random_mask\000000271.png +816,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000271,Task_Image_Mask_raw_image\images\000000271.jpg,Task_Image_Mask_raw_image\random_mask\000000271.png +817,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000272,Task_Image_Mask_raw_image\images\000000272.jpg,Task_Image_Mask_raw_image\random_mask\000000272.png +818,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000272,Task_Image_Mask_raw_image\images\000000272.jpg,Task_Image_Mask_raw_image\random_mask\000000272.png +819,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000272,Task_Image_Mask_raw_image\images\000000272.jpg,Task_Image_Mask_raw_image\random_mask\000000272.png +820,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000273,Task_Image_Mask_raw_image\images\000000273.jpg,Task_Image_Mask_raw_image\random_mask\000000273.png +821,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000273,Task_Image_Mask_raw_image\images\000000273.jpg,Task_Image_Mask_raw_image\random_mask\000000273.png +822,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000273,Task_Image_Mask_raw_image\images\000000273.jpg,Task_Image_Mask_raw_image\random_mask\000000273.png +823,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000274,Task_Image_Mask_raw_image\images\000000274.jpg,Task_Image_Mask_raw_image\random_mask\000000274.png +824,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000274,Task_Image_Mask_raw_image\images\000000274.jpg,Task_Image_Mask_raw_image\random_mask\000000274.png +825,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000274,Task_Image_Mask_raw_image\images\000000274.jpg,Task_Image_Mask_raw_image\random_mask\000000274.png +826,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000275,Task_Image_Mask_raw_image\images\000000275.jpg,Task_Image_Mask_raw_image\random_mask\000000275.png +827,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000275,Task_Image_Mask_raw_image\images\000000275.jpg,Task_Image_Mask_raw_image\random_mask\000000275.png +828,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000275,Task_Image_Mask_raw_image\images\000000275.jpg,Task_Image_Mask_raw_image\random_mask\000000275.png +829,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000276,Task_Image_Mask_raw_image\images\000000276.jpg,Task_Image_Mask_raw_image\random_mask\000000276.png +830,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000276,Task_Image_Mask_raw_image\images\000000276.jpg,Task_Image_Mask_raw_image\random_mask\000000276.png +831,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000276,Task_Image_Mask_raw_image\images\000000276.jpg,Task_Image_Mask_raw_image\random_mask\000000276.png +832,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000277,Task_Image_Mask_raw_image\images\000000277.jpg,Task_Image_Mask_raw_image\random_mask\000000277.png +833,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000277,Task_Image_Mask_raw_image\images\000000277.jpg,Task_Image_Mask_raw_image\random_mask\000000277.png +834,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000277,Task_Image_Mask_raw_image\images\000000277.jpg,Task_Image_Mask_raw_image\random_mask\000000277.png +835,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000278,Task_Image_Mask_raw_image\images\000000278.jpg,Task_Image_Mask_raw_image\random_mask\000000278.png +836,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000278,Task_Image_Mask_raw_image\images\000000278.jpg,Task_Image_Mask_raw_image\random_mask\000000278.png +837,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000278,Task_Image_Mask_raw_image\images\000000278.jpg,Task_Image_Mask_raw_image\random_mask\000000278.png +838,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000279,Task_Image_Mask_raw_image\images\000000279.jpg,Task_Image_Mask_raw_image\random_mask\000000279.png +839,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000279,Task_Image_Mask_raw_image\images\000000279.jpg,Task_Image_Mask_raw_image\random_mask\000000279.png +840,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000279,Task_Image_Mask_raw_image\images\000000279.jpg,Task_Image_Mask_raw_image\random_mask\000000279.png +841,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000280,Task_Image_Mask_raw_image\images\000000280.jpg,Task_Image_Mask_raw_image\random_mask\000000280.png +842,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000280,Task_Image_Mask_raw_image\images\000000280.jpg,Task_Image_Mask_raw_image\random_mask\000000280.png +843,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000280,Task_Image_Mask_raw_image\images\000000280.jpg,Task_Image_Mask_raw_image\random_mask\000000280.png +844,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000281,Task_Image_Mask_raw_image\images\000000281.jpg,Task_Image_Mask_raw_image\random_mask\000000281.png +845,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000281,Task_Image_Mask_raw_image\images\000000281.jpg,Task_Image_Mask_raw_image\random_mask\000000281.png +846,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000281,Task_Image_Mask_raw_image\images\000000281.jpg,Task_Image_Mask_raw_image\random_mask\000000281.png +847,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000282,Task_Image_Mask_raw_image\images\000000282.jpg,Task_Image_Mask_raw_image\random_mask\000000282.png +848,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000282,Task_Image_Mask_raw_image\images\000000282.jpg,Task_Image_Mask_raw_image\random_mask\000000282.png +849,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000282,Task_Image_Mask_raw_image\images\000000282.jpg,Task_Image_Mask_raw_image\random_mask\000000282.png +850,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000283,Task_Image_Mask_raw_image\images\000000283.jpg,Task_Image_Mask_raw_image\random_mask\000000283.png +851,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000283,Task_Image_Mask_raw_image\images\000000283.jpg,Task_Image_Mask_raw_image\random_mask\000000283.png +852,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000283,Task_Image_Mask_raw_image\images\000000283.jpg,Task_Image_Mask_raw_image\random_mask\000000283.png +853,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000284,Task_Image_Mask_raw_image\images\000000284.jpg,Task_Image_Mask_raw_image\random_mask\000000284.png +854,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000284,Task_Image_Mask_raw_image\images\000000284.jpg,Task_Image_Mask_raw_image\random_mask\000000284.png +855,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000284,Task_Image_Mask_raw_image\images\000000284.jpg,Task_Image_Mask_raw_image\random_mask\000000284.png +856,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000285,Task_Image_Mask_raw_image\images\000000285.jpg,Task_Image_Mask_raw_image\random_mask\000000285.png +857,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000285,Task_Image_Mask_raw_image\images\000000285.jpg,Task_Image_Mask_raw_image\random_mask\000000285.png +858,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000285,Task_Image_Mask_raw_image\images\000000285.jpg,Task_Image_Mask_raw_image\random_mask\000000285.png +859,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000286,Task_Image_Mask_raw_image\images\000000286.jpg,Task_Image_Mask_raw_image\random_mask\000000286.png +860,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000286,Task_Image_Mask_raw_image\images\000000286.jpg,Task_Image_Mask_raw_image\random_mask\000000286.png +861,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000286,Task_Image_Mask_raw_image\images\000000286.jpg,Task_Image_Mask_raw_image\random_mask\000000286.png +862,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000287,Task_Image_Mask_raw_image\images\000000287.jpg,Task_Image_Mask_raw_image\random_mask\000000287.png +863,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000287,Task_Image_Mask_raw_image\images\000000287.jpg,Task_Image_Mask_raw_image\random_mask\000000287.png +864,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000287,Task_Image_Mask_raw_image\images\000000287.jpg,Task_Image_Mask_raw_image\random_mask\000000287.png +865,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000288,Task_Image_Mask_raw_image\images\000000288.jpg,Task_Image_Mask_raw_image\random_mask\000000288.png +866,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000288,Task_Image_Mask_raw_image\images\000000288.jpg,Task_Image_Mask_raw_image\random_mask\000000288.png +867,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000288,Task_Image_Mask_raw_image\images\000000288.jpg,Task_Image_Mask_raw_image\random_mask\000000288.png +868,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000289,Task_Image_Mask_raw_image\images\000000289.jpg,Task_Image_Mask_raw_image\random_mask\000000289.png +869,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000289,Task_Image_Mask_raw_image\images\000000289.jpg,Task_Image_Mask_raw_image\random_mask\000000289.png +870,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000289,Task_Image_Mask_raw_image\images\000000289.jpg,Task_Image_Mask_raw_image\random_mask\000000289.png +871,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000290,Task_Image_Mask_raw_image\images\000000290.jpg,Task_Image_Mask_raw_image\random_mask\000000290.png +872,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000290,Task_Image_Mask_raw_image\images\000000290.jpg,Task_Image_Mask_raw_image\random_mask\000000290.png +873,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000290,Task_Image_Mask_raw_image\images\000000290.jpg,Task_Image_Mask_raw_image\random_mask\000000290.png +874,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000291,Task_Image_Mask_raw_image\images\000000291.jpg,Task_Image_Mask_raw_image\random_mask\000000291.png +875,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000291,Task_Image_Mask_raw_image\images\000000291.jpg,Task_Image_Mask_raw_image\random_mask\000000291.png +876,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000291,Task_Image_Mask_raw_image\images\000000291.jpg,Task_Image_Mask_raw_image\random_mask\000000291.png +877,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000292,Task_Image_Mask_raw_image\images\000000292.jpg,Task_Image_Mask_raw_image\random_mask\000000292.png +878,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000292,Task_Image_Mask_raw_image\images\000000292.jpg,Task_Image_Mask_raw_image\random_mask\000000292.png +879,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000292,Task_Image_Mask_raw_image\images\000000292.jpg,Task_Image_Mask_raw_image\random_mask\000000292.png +880,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000293,Task_Image_Mask_raw_image\images\000000293.jpg,Task_Image_Mask_raw_image\random_mask\000000293.png +881,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000293,Task_Image_Mask_raw_image\images\000000293.jpg,Task_Image_Mask_raw_image\random_mask\000000293.png +882,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000293,Task_Image_Mask_raw_image\images\000000293.jpg,Task_Image_Mask_raw_image\random_mask\000000293.png +883,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000294,Task_Image_Mask_raw_image\images\000000294.jpg,Task_Image_Mask_raw_image\random_mask\000000294.png +884,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000294,Task_Image_Mask_raw_image\images\000000294.jpg,Task_Image_Mask_raw_image\random_mask\000000294.png +885,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000294,Task_Image_Mask_raw_image\images\000000294.jpg,Task_Image_Mask_raw_image\random_mask\000000294.png +886,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000295,Task_Image_Mask_raw_image\images\000000295.jpg,Task_Image_Mask_raw_image\random_mask\000000295.png +887,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000295,Task_Image_Mask_raw_image\images\000000295.jpg,Task_Image_Mask_raw_image\random_mask\000000295.png +888,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000295,Task_Image_Mask_raw_image\images\000000295.jpg,Task_Image_Mask_raw_image\random_mask\000000295.png +889,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000296,Task_Image_Mask_raw_image\images\000000296.jpg,Task_Image_Mask_raw_image\random_mask\000000296.png +890,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000296,Task_Image_Mask_raw_image\images\000000296.jpg,Task_Image_Mask_raw_image\random_mask\000000296.png +891,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000296,Task_Image_Mask_raw_image\images\000000296.jpg,Task_Image_Mask_raw_image\random_mask\000000296.png +892,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000297,Task_Image_Mask_raw_image\images\000000297.jpg,Task_Image_Mask_raw_image\random_mask\000000297.png +893,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000297,Task_Image_Mask_raw_image\images\000000297.jpg,Task_Image_Mask_raw_image\random_mask\000000297.png +894,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000297,Task_Image_Mask_raw_image\images\000000297.jpg,Task_Image_Mask_raw_image\random_mask\000000297.png +895,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000298,Task_Image_Mask_raw_image\images\000000298.jpg,Task_Image_Mask_raw_image\random_mask\000000298.png +896,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000298,Task_Image_Mask_raw_image\images\000000298.jpg,Task_Image_Mask_raw_image\random_mask\000000298.png +897,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000298,Task_Image_Mask_raw_image\images\000000298.jpg,Task_Image_Mask_raw_image\random_mask\000000298.png +898,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000299,Task_Image_Mask_raw_image\images\000000299.jpg,Task_Image_Mask_raw_image\random_mask\000000299.png +899,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000299,Task_Image_Mask_raw_image\images\000000299.jpg,Task_Image_Mask_raw_image\random_mask\000000299.png +900,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000299,Task_Image_Mask_raw_image\images\000000299.jpg,Task_Image_Mask_raw_image\random_mask\000000299.png +901,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000300,Task_Image_Mask_raw_image\images\000000300.jpg,Task_Image_Mask_raw_image\random_mask\000000300.png +902,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000300,Task_Image_Mask_raw_image\images\000000300.jpg,Task_Image_Mask_raw_image\random_mask\000000300.png +903,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000300,Task_Image_Mask_raw_image\images\000000300.jpg,Task_Image_Mask_raw_image\random_mask\000000300.png +904,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000301,Task_Image_Mask_raw_image\images\000000301.jpg,Task_Image_Mask_raw_image\random_mask\000000301.png +905,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000301,Task_Image_Mask_raw_image\images\000000301.jpg,Task_Image_Mask_raw_image\random_mask\000000301.png +906,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000301,Task_Image_Mask_raw_image\images\000000301.jpg,Task_Image_Mask_raw_image\random_mask\000000301.png +907,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000302,Task_Image_Mask_raw_image\images\000000302.jpg,Task_Image_Mask_raw_image\random_mask\000000302.png +908,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000302,Task_Image_Mask_raw_image\images\000000302.jpg,Task_Image_Mask_raw_image\random_mask\000000302.png +909,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000302,Task_Image_Mask_raw_image\images\000000302.jpg,Task_Image_Mask_raw_image\random_mask\000000302.png +910,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000303,Task_Image_Mask_raw_image\images\000000303.jpg,Task_Image_Mask_raw_image\random_mask\000000303.png +911,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000303,Task_Image_Mask_raw_image\images\000000303.jpg,Task_Image_Mask_raw_image\random_mask\000000303.png +912,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000303,Task_Image_Mask_raw_image\images\000000303.jpg,Task_Image_Mask_raw_image\random_mask\000000303.png +913,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000304,Task_Image_Mask_raw_image\images\000000304.jpg,Task_Image_Mask_raw_image\random_mask\000000304.png +914,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000304,Task_Image_Mask_raw_image\images\000000304.jpg,Task_Image_Mask_raw_image\random_mask\000000304.png +915,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000304,Task_Image_Mask_raw_image\images\000000304.jpg,Task_Image_Mask_raw_image\random_mask\000000304.png +916,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000305,Task_Image_Mask_raw_image\images\000000305.jpg,Task_Image_Mask_raw_image\random_mask\000000305.png +917,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000305,Task_Image_Mask_raw_image\images\000000305.jpg,Task_Image_Mask_raw_image\random_mask\000000305.png +918,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000305,Task_Image_Mask_raw_image\images\000000305.jpg,Task_Image_Mask_raw_image\random_mask\000000305.png +919,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000306,Task_Image_Mask_raw_image\images\000000306.jpg,Task_Image_Mask_raw_image\random_mask\000000306.png +920,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000306,Task_Image_Mask_raw_image\images\000000306.jpg,Task_Image_Mask_raw_image\random_mask\000000306.png +921,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000306,Task_Image_Mask_raw_image\images\000000306.jpg,Task_Image_Mask_raw_image\random_mask\000000306.png +922,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000307,Task_Image_Mask_raw_image\images\000000307.jpg,Task_Image_Mask_raw_image\random_mask\000000307.png +923,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000307,Task_Image_Mask_raw_image\images\000000307.jpg,Task_Image_Mask_raw_image\random_mask\000000307.png +924,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000307,Task_Image_Mask_raw_image\images\000000307.jpg,Task_Image_Mask_raw_image\random_mask\000000307.png +925,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000308,Task_Image_Mask_raw_image\images\000000308.jpg,Task_Image_Mask_raw_image\random_mask\000000308.png +926,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000308,Task_Image_Mask_raw_image\images\000000308.jpg,Task_Image_Mask_raw_image\random_mask\000000308.png +927,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000308,Task_Image_Mask_raw_image\images\000000308.jpg,Task_Image_Mask_raw_image\random_mask\000000308.png +928,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000309,Task_Image_Mask_raw_image\images\000000309.jpg,Task_Image_Mask_raw_image\random_mask\000000309.png +929,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000309,Task_Image_Mask_raw_image\images\000000309.jpg,Task_Image_Mask_raw_image\random_mask\000000309.png +930,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000309,Task_Image_Mask_raw_image\images\000000309.jpg,Task_Image_Mask_raw_image\random_mask\000000309.png +931,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000310,Task_Image_Mask_raw_image\images\000000310.jpg,Task_Image_Mask_raw_image\random_mask\000000310.png +932,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000310,Task_Image_Mask_raw_image\images\000000310.jpg,Task_Image_Mask_raw_image\random_mask\000000310.png +933,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000310,Task_Image_Mask_raw_image\images\000000310.jpg,Task_Image_Mask_raw_image\random_mask\000000310.png +934,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000311,Task_Image_Mask_raw_image\images\000000311.jpg,Task_Image_Mask_raw_image\random_mask\000000311.png +935,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000311,Task_Image_Mask_raw_image\images\000000311.jpg,Task_Image_Mask_raw_image\random_mask\000000311.png +936,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000311,Task_Image_Mask_raw_image\images\000000311.jpg,Task_Image_Mask_raw_image\random_mask\000000311.png +937,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000312,Task_Image_Mask_raw_image\images\000000312.jpg,Task_Image_Mask_raw_image\random_mask\000000312.png +938,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000312,Task_Image_Mask_raw_image\images\000000312.jpg,Task_Image_Mask_raw_image\random_mask\000000312.png +939,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000312,Task_Image_Mask_raw_image\images\000000312.jpg,Task_Image_Mask_raw_image\random_mask\000000312.png +940,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000313,Task_Image_Mask_raw_image\images\000000313.jpg,Task_Image_Mask_raw_image\random_mask\000000313.png +941,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000313,Task_Image_Mask_raw_image\images\000000313.jpg,Task_Image_Mask_raw_image\random_mask\000000313.png +942,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000313,Task_Image_Mask_raw_image\images\000000313.jpg,Task_Image_Mask_raw_image\random_mask\000000313.png +943,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000314,Task_Image_Mask_raw_image\images\000000314.jpg,Task_Image_Mask_raw_image\random_mask\000000314.png +944,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000314,Task_Image_Mask_raw_image\images\000000314.jpg,Task_Image_Mask_raw_image\random_mask\000000314.png +945,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000314,Task_Image_Mask_raw_image\images\000000314.jpg,Task_Image_Mask_raw_image\random_mask\000000314.png +946,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000315,Task_Image_Mask_raw_image\images\000000315.jpg,Task_Image_Mask_raw_image\random_mask\000000315.png +947,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000315,Task_Image_Mask_raw_image\images\000000315.jpg,Task_Image_Mask_raw_image\random_mask\000000315.png +948,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000315,Task_Image_Mask_raw_image\images\000000315.jpg,Task_Image_Mask_raw_image\random_mask\000000315.png +949,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000316,Task_Image_Mask_raw_image\images\000000316.jpg,Task_Image_Mask_raw_image\random_mask\000000316.png +950,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000316,Task_Image_Mask_raw_image\images\000000316.jpg,Task_Image_Mask_raw_image\random_mask\000000316.png +951,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000316,Task_Image_Mask_raw_image\images\000000316.jpg,Task_Image_Mask_raw_image\random_mask\000000316.png +952,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000317,Task_Image_Mask_raw_image\images\000000317.jpg,Task_Image_Mask_raw_image\random_mask\000000317.png +953,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000317,Task_Image_Mask_raw_image\images\000000317.jpg,Task_Image_Mask_raw_image\random_mask\000000317.png +954,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000317,Task_Image_Mask_raw_image\images\000000317.jpg,Task_Image_Mask_raw_image\random_mask\000000317.png +955,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000318,Task_Image_Mask_raw_image\images\000000318.jpg,Task_Image_Mask_raw_image\random_mask\000000318.png +956,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000318,Task_Image_Mask_raw_image\images\000000318.jpg,Task_Image_Mask_raw_image\random_mask\000000318.png +957,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000318,Task_Image_Mask_raw_image\images\000000318.jpg,Task_Image_Mask_raw_image\random_mask\000000318.png +958,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000319,Task_Image_Mask_raw_image\images\000000319.jpg,Task_Image_Mask_raw_image\random_mask\000000319.png +959,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000319,Task_Image_Mask_raw_image\images\000000319.jpg,Task_Image_Mask_raw_image\random_mask\000000319.png +960,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000319,Task_Image_Mask_raw_image\images\000000319.jpg,Task_Image_Mask_raw_image\random_mask\000000319.png +961,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000320,Task_Image_Mask_raw_image\images\000000320.jpg,Task_Image_Mask_raw_image\random_mask\000000320.png +962,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000320,Task_Image_Mask_raw_image\images\000000320.jpg,Task_Image_Mask_raw_image\random_mask\000000320.png +963,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000320,Task_Image_Mask_raw_image\images\000000320.jpg,Task_Image_Mask_raw_image\random_mask\000000320.png +964,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000321,Task_Image_Mask_raw_image\images\000000321.jpg,Task_Image_Mask_raw_image\random_mask\000000321.png +965,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000321,Task_Image_Mask_raw_image\images\000000321.jpg,Task_Image_Mask_raw_image\random_mask\000000321.png +966,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000321,Task_Image_Mask_raw_image\images\000000321.jpg,Task_Image_Mask_raw_image\random_mask\000000321.png +967,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000322,Task_Image_Mask_raw_image\images\000000322.jpg,Task_Image_Mask_raw_image\random_mask\000000322.png +968,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000322,Task_Image_Mask_raw_image\images\000000322.jpg,Task_Image_Mask_raw_image\random_mask\000000322.png +969,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000322,Task_Image_Mask_raw_image\images\000000322.jpg,Task_Image_Mask_raw_image\random_mask\000000322.png +970,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000323,Task_Image_Mask_raw_image\images\000000323.jpg,Task_Image_Mask_raw_image\random_mask\000000323.png +971,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000323,Task_Image_Mask_raw_image\images\000000323.jpg,Task_Image_Mask_raw_image\random_mask\000000323.png +972,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000323,Task_Image_Mask_raw_image\images\000000323.jpg,Task_Image_Mask_raw_image\random_mask\000000323.png +973,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000324,Task_Image_Mask_raw_image\images\000000324.jpg,Task_Image_Mask_raw_image\random_mask\000000324.png +974,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000324,Task_Image_Mask_raw_image\images\000000324.jpg,Task_Image_Mask_raw_image\random_mask\000000324.png +975,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000324,Task_Image_Mask_raw_image\images\000000324.jpg,Task_Image_Mask_raw_image\random_mask\000000324.png +976,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000325,Task_Image_Mask_raw_image\images\000000325.jpg,Task_Image_Mask_raw_image\random_mask\000000325.png +977,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000325,Task_Image_Mask_raw_image\images\000000325.jpg,Task_Image_Mask_raw_image\random_mask\000000325.png +978,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000325,Task_Image_Mask_raw_image\images\000000325.jpg,Task_Image_Mask_raw_image\random_mask\000000325.png +979,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000326,Task_Image_Mask_raw_image\images\000000326.jpg,Task_Image_Mask_raw_image\random_mask\000000326.png +980,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000326,Task_Image_Mask_raw_image\images\000000326.jpg,Task_Image_Mask_raw_image\random_mask\000000326.png +981,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000326,Task_Image_Mask_raw_image\images\000000326.jpg,Task_Image_Mask_raw_image\random_mask\000000326.png +982,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000327,Task_Image_Mask_raw_image\images\000000327.jpg,Task_Image_Mask_raw_image\random_mask\000000327.png +983,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000327,Task_Image_Mask_raw_image\images\000000327.jpg,Task_Image_Mask_raw_image\random_mask\000000327.png +984,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000327,Task_Image_Mask_raw_image\images\000000327.jpg,Task_Image_Mask_raw_image\random_mask\000000327.png +985,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000328,Task_Image_Mask_raw_image\images\000000328.jpg,Task_Image_Mask_raw_image\random_mask\000000328.png +986,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000328,Task_Image_Mask_raw_image\images\000000328.jpg,Task_Image_Mask_raw_image\random_mask\000000328.png +987,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000328,Task_Image_Mask_raw_image\images\000000328.jpg,Task_Image_Mask_raw_image\random_mask\000000328.png +988,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000329,Task_Image_Mask_raw_image\images\000000329.jpg,Task_Image_Mask_raw_image\random_mask\000000329.png +989,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000329,Task_Image_Mask_raw_image\images\000000329.jpg,Task_Image_Mask_raw_image\random_mask\000000329.png +990,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000329,Task_Image_Mask_raw_image\images\000000329.jpg,Task_Image_Mask_raw_image\random_mask\000000329.png +991,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000330,Task_Image_Mask_raw_image\images\000000330.jpg,Task_Image_Mask_raw_image\random_mask\000000330.png +992,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000330,Task_Image_Mask_raw_image\images\000000330.jpg,Task_Image_Mask_raw_image\random_mask\000000330.png +993,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000330,Task_Image_Mask_raw_image\images\000000330.jpg,Task_Image_Mask_raw_image\random_mask\000000330.png +994,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000331,Task_Image_Mask_raw_image\images\000000331.jpg,Task_Image_Mask_raw_image\random_mask\000000331.png +995,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000331,Task_Image_Mask_raw_image\images\000000331.jpg,Task_Image_Mask_raw_image\random_mask\000000331.png +996,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000331,Task_Image_Mask_raw_image\images\000000331.jpg,Task_Image_Mask_raw_image\random_mask\000000331.png +997,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000332,Task_Image_Mask_raw_image\images\000000332.jpg,Task_Image_Mask_raw_image\random_mask\000000332.png +998,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000332,Task_Image_Mask_raw_image\images\000000332.jpg,Task_Image_Mask_raw_image\random_mask\000000332.png +999,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000332,Task_Image_Mask_raw_image\images\000000332.jpg,Task_Image_Mask_raw_image\random_mask\000000332.png +1000,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000333,Task_Image_Mask_raw_image\images\000000333.jpg,Task_Image_Mask_raw_image\random_mask\000000333.png +1001,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000333,Task_Image_Mask_raw_image\images\000000333.jpg,Task_Image_Mask_raw_image\random_mask\000000333.png +1002,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000333,Task_Image_Mask_raw_image\images\000000333.jpg,Task_Image_Mask_raw_image\random_mask\000000333.png +1003,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000334,Task_Image_Mask_raw_image\images\000000334.jpg,Task_Image_Mask_raw_image\random_mask\000000334.png +1004,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000334,Task_Image_Mask_raw_image\images\000000334.jpg,Task_Image_Mask_raw_image\random_mask\000000334.png +1005,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000334,Task_Image_Mask_raw_image\images\000000334.jpg,Task_Image_Mask_raw_image\random_mask\000000334.png +1006,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000335,Task_Image_Mask_raw_image\images\000000335.jpg,Task_Image_Mask_raw_image\random_mask\000000335.png +1007,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000335,Task_Image_Mask_raw_image\images\000000335.jpg,Task_Image_Mask_raw_image\random_mask\000000335.png +1008,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000335,Task_Image_Mask_raw_image\images\000000335.jpg,Task_Image_Mask_raw_image\random_mask\000000335.png +1009,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000336,Task_Image_Mask_raw_image\images\000000336.jpg,Task_Image_Mask_raw_image\random_mask\000000336.png +1010,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000336,Task_Image_Mask_raw_image\images\000000336.jpg,Task_Image_Mask_raw_image\random_mask\000000336.png +1011,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000336,Task_Image_Mask_raw_image\images\000000336.jpg,Task_Image_Mask_raw_image\random_mask\000000336.png +1012,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000337,Task_Image_Mask_raw_image\images\000000337.jpg,Task_Image_Mask_raw_image\random_mask\000000337.png +1013,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000337,Task_Image_Mask_raw_image\images\000000337.jpg,Task_Image_Mask_raw_image\random_mask\000000337.png +1014,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000337,Task_Image_Mask_raw_image\images\000000337.jpg,Task_Image_Mask_raw_image\random_mask\000000337.png +1015,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000338,Task_Image_Mask_raw_image\images\000000338.jpg,Task_Image_Mask_raw_image\random_mask\000000338.png +1016,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000338,Task_Image_Mask_raw_image\images\000000338.jpg,Task_Image_Mask_raw_image\random_mask\000000338.png +1017,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000338,Task_Image_Mask_raw_image\images\000000338.jpg,Task_Image_Mask_raw_image\random_mask\000000338.png +1018,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000339,Task_Image_Mask_raw_image\images\000000339.jpg,Task_Image_Mask_raw_image\random_mask\000000339.png +1019,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000339,Task_Image_Mask_raw_image\images\000000339.jpg,Task_Image_Mask_raw_image\random_mask\000000339.png +1020,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000339,Task_Image_Mask_raw_image\images\000000339.jpg,Task_Image_Mask_raw_image\random_mask\000000339.png +1021,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000340,Task_Image_Mask_raw_image\images\000000340.jpg,Task_Image_Mask_raw_image\random_mask\000000340.png +1022,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000340,Task_Image_Mask_raw_image\images\000000340.jpg,Task_Image_Mask_raw_image\random_mask\000000340.png +1023,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000340,Task_Image_Mask_raw_image\images\000000340.jpg,Task_Image_Mask_raw_image\random_mask\000000340.png +1024,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000341,Task_Image_Mask_raw_image\images\000000341.jpg,Task_Image_Mask_raw_image\random_mask\000000341.png +1025,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000341,Task_Image_Mask_raw_image\images\000000341.jpg,Task_Image_Mask_raw_image\random_mask\000000341.png +1026,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000341,Task_Image_Mask_raw_image\images\000000341.jpg,Task_Image_Mask_raw_image\random_mask\000000341.png +1027,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000342,Task_Image_Mask_raw_image\images\000000342.jpg,Task_Image_Mask_raw_image\random_mask\000000342.png +1028,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000342,Task_Image_Mask_raw_image\images\000000342.jpg,Task_Image_Mask_raw_image\random_mask\000000342.png +1029,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000342,Task_Image_Mask_raw_image\images\000000342.jpg,Task_Image_Mask_raw_image\random_mask\000000342.png +1030,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000343,Task_Image_Mask_raw_image\images\000000343.jpg,Task_Image_Mask_raw_image\random_mask\000000343.png +1031,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000343,Task_Image_Mask_raw_image\images\000000343.jpg,Task_Image_Mask_raw_image\random_mask\000000343.png +1032,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000343,Task_Image_Mask_raw_image\images\000000343.jpg,Task_Image_Mask_raw_image\random_mask\000000343.png +1033,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000344,Task_Image_Mask_raw_image\images\000000344.jpg,Task_Image_Mask_raw_image\random_mask\000000344.png +1034,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000344,Task_Image_Mask_raw_image\images\000000344.jpg,Task_Image_Mask_raw_image\random_mask\000000344.png +1035,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000344,Task_Image_Mask_raw_image\images\000000344.jpg,Task_Image_Mask_raw_image\random_mask\000000344.png +1036,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000345,Task_Image_Mask_raw_image\images\000000345.jpg,Task_Image_Mask_raw_image\random_mask\000000345.png +1037,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000345,Task_Image_Mask_raw_image\images\000000345.jpg,Task_Image_Mask_raw_image\random_mask\000000345.png +1038,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000345,Task_Image_Mask_raw_image\images\000000345.jpg,Task_Image_Mask_raw_image\random_mask\000000345.png +1039,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000346,Task_Image_Mask_raw_image\images\000000346.jpg,Task_Image_Mask_raw_image\random_mask\000000346.png +1040,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000346,Task_Image_Mask_raw_image\images\000000346.jpg,Task_Image_Mask_raw_image\random_mask\000000346.png +1041,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000346,Task_Image_Mask_raw_image\images\000000346.jpg,Task_Image_Mask_raw_image\random_mask\000000346.png +1042,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000347,Task_Image_Mask_raw_image\images\000000347.jpg,Task_Image_Mask_raw_image\random_mask\000000347.png +1043,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000347,Task_Image_Mask_raw_image\images\000000347.jpg,Task_Image_Mask_raw_image\random_mask\000000347.png +1044,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000347,Task_Image_Mask_raw_image\images\000000347.jpg,Task_Image_Mask_raw_image\random_mask\000000347.png +1045,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000348,Task_Image_Mask_raw_image\images\000000348.jpg,Task_Image_Mask_raw_image\random_mask\000000348.png +1046,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000348,Task_Image_Mask_raw_image\images\000000348.jpg,Task_Image_Mask_raw_image\random_mask\000000348.png +1047,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000348,Task_Image_Mask_raw_image\images\000000348.jpg,Task_Image_Mask_raw_image\random_mask\000000348.png +1048,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000349,Task_Image_Mask_raw_image\images\000000349.jpg,Task_Image_Mask_raw_image\random_mask\000000349.png +1049,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000349,Task_Image_Mask_raw_image\images\000000349.jpg,Task_Image_Mask_raw_image\random_mask\000000349.png +1050,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000349,Task_Image_Mask_raw_image\images\000000349.jpg,Task_Image_Mask_raw_image\random_mask\000000349.png +1051,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000350,Task_Image_Mask_raw_image\images\000000350.jpg,Task_Image_Mask_raw_image\random_mask\000000350.png +1052,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000350,Task_Image_Mask_raw_image\images\000000350.jpg,Task_Image_Mask_raw_image\random_mask\000000350.png +1053,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000350,Task_Image_Mask_raw_image\images\000000350.jpg,Task_Image_Mask_raw_image\random_mask\000000350.png +1054,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000351,Task_Image_Mask_raw_image\images\000000351.jpg,Task_Image_Mask_raw_image\random_mask\000000351.png +1055,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000351,Task_Image_Mask_raw_image\images\000000351.jpg,Task_Image_Mask_raw_image\random_mask\000000351.png +1056,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000351,Task_Image_Mask_raw_image\images\000000351.jpg,Task_Image_Mask_raw_image\random_mask\000000351.png +1057,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000352,Task_Image_Mask_raw_image\images\000000352.jpg,Task_Image_Mask_raw_image\random_mask\000000352.png +1058,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000352,Task_Image_Mask_raw_image\images\000000352.jpg,Task_Image_Mask_raw_image\random_mask\000000352.png +1059,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000352,Task_Image_Mask_raw_image\images\000000352.jpg,Task_Image_Mask_raw_image\random_mask\000000352.png +1060,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000353,Task_Image_Mask_raw_image\images\000000353.jpg,Task_Image_Mask_raw_image\random_mask\000000353.png +1061,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000353,Task_Image_Mask_raw_image\images\000000353.jpg,Task_Image_Mask_raw_image\random_mask\000000353.png +1062,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000353,Task_Image_Mask_raw_image\images\000000353.jpg,Task_Image_Mask_raw_image\random_mask\000000353.png +1063,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000354,Task_Image_Mask_raw_image\images\000000354.jpg,Task_Image_Mask_raw_image\random_mask\000000354.png +1064,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000354,Task_Image_Mask_raw_image\images\000000354.jpg,Task_Image_Mask_raw_image\random_mask\000000354.png +1065,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000354,Task_Image_Mask_raw_image\images\000000354.jpg,Task_Image_Mask_raw_image\random_mask\000000354.png +1066,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000355,Task_Image_Mask_raw_image\images\000000355.jpg,Task_Image_Mask_raw_image\random_mask\000000355.png +1067,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000355,Task_Image_Mask_raw_image\images\000000355.jpg,Task_Image_Mask_raw_image\random_mask\000000355.png +1068,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000355,Task_Image_Mask_raw_image\images\000000355.jpg,Task_Image_Mask_raw_image\random_mask\000000355.png +1069,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000356,Task_Image_Mask_raw_image\images\000000356.jpg,Task_Image_Mask_raw_image\random_mask\000000356.png +1070,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000356,Task_Image_Mask_raw_image\images\000000356.jpg,Task_Image_Mask_raw_image\random_mask\000000356.png +1071,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000356,Task_Image_Mask_raw_image\images\000000356.jpg,Task_Image_Mask_raw_image\random_mask\000000356.png +1072,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000357,Task_Image_Mask_raw_image\images\000000357.jpg,Task_Image_Mask_raw_image\random_mask\000000357.png +1073,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000357,Task_Image_Mask_raw_image\images\000000357.jpg,Task_Image_Mask_raw_image\random_mask\000000357.png +1074,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000357,Task_Image_Mask_raw_image\images\000000357.jpg,Task_Image_Mask_raw_image\random_mask\000000357.png +1075,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000358,Task_Image_Mask_raw_image\images\000000358.jpg,Task_Image_Mask_raw_image\random_mask\000000358.png +1076,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000358,Task_Image_Mask_raw_image\images\000000358.jpg,Task_Image_Mask_raw_image\random_mask\000000358.png +1077,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000358,Task_Image_Mask_raw_image\images\000000358.jpg,Task_Image_Mask_raw_image\random_mask\000000358.png +1078,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000359,Task_Image_Mask_raw_image\images\000000359.jpg,Task_Image_Mask_raw_image\random_mask\000000359.png +1079,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000359,Task_Image_Mask_raw_image\images\000000359.jpg,Task_Image_Mask_raw_image\random_mask\000000359.png +1080,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000359,Task_Image_Mask_raw_image\images\000000359.jpg,Task_Image_Mask_raw_image\random_mask\000000359.png +1081,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000360,Task_Image_Mask_raw_image\images\000000360.jpg,Task_Image_Mask_raw_image\random_mask\000000360.png +1082,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000360,Task_Image_Mask_raw_image\images\000000360.jpg,Task_Image_Mask_raw_image\random_mask\000000360.png +1083,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000360,Task_Image_Mask_raw_image\images\000000360.jpg,Task_Image_Mask_raw_image\random_mask\000000360.png +1084,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000361,Task_Image_Mask_raw_image\images\000000361.jpg,Task_Image_Mask_raw_image\random_mask\000000361.png +1085,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000361,Task_Image_Mask_raw_image\images\000000361.jpg,Task_Image_Mask_raw_image\random_mask\000000361.png +1086,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000361,Task_Image_Mask_raw_image\images\000000361.jpg,Task_Image_Mask_raw_image\random_mask\000000361.png +1087,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000362,Task_Image_Mask_raw_image\images\000000362.jpg,Task_Image_Mask_raw_image\random_mask\000000362.png +1088,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000362,Task_Image_Mask_raw_image\images\000000362.jpg,Task_Image_Mask_raw_image\random_mask\000000362.png +1089,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000362,Task_Image_Mask_raw_image\images\000000362.jpg,Task_Image_Mask_raw_image\random_mask\000000362.png +1090,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000363,Task_Image_Mask_raw_image\images\000000363.jpg,Task_Image_Mask_raw_image\random_mask\000000363.png +1091,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000363,Task_Image_Mask_raw_image\images\000000363.jpg,Task_Image_Mask_raw_image\random_mask\000000363.png +1092,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000363,Task_Image_Mask_raw_image\images\000000363.jpg,Task_Image_Mask_raw_image\random_mask\000000363.png +1093,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000364,Task_Image_Mask_raw_image\images\000000364.jpg,Task_Image_Mask_raw_image\random_mask\000000364.png +1094,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000364,Task_Image_Mask_raw_image\images\000000364.jpg,Task_Image_Mask_raw_image\random_mask\000000364.png +1095,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000364,Task_Image_Mask_raw_image\images\000000364.jpg,Task_Image_Mask_raw_image\random_mask\000000364.png +1096,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000365,Task_Image_Mask_raw_image\images\000000365.jpg,Task_Image_Mask_raw_image\random_mask\000000365.png +1097,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000365,Task_Image_Mask_raw_image\images\000000365.jpg,Task_Image_Mask_raw_image\random_mask\000000365.png +1098,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000365,Task_Image_Mask_raw_image\images\000000365.jpg,Task_Image_Mask_raw_image\random_mask\000000365.png +1099,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000366,Task_Image_Mask_raw_image\images\000000366.jpg,Task_Image_Mask_raw_image\random_mask\000000366.png +1100,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000366,Task_Image_Mask_raw_image\images\000000366.jpg,Task_Image_Mask_raw_image\random_mask\000000366.png +1101,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000366,Task_Image_Mask_raw_image\images\000000366.jpg,Task_Image_Mask_raw_image\random_mask\000000366.png +1102,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000367,Task_Image_Mask_raw_image\images\000000367.jpg,Task_Image_Mask_raw_image\random_mask\000000367.png +1103,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000367,Task_Image_Mask_raw_image\images\000000367.jpg,Task_Image_Mask_raw_image\random_mask\000000367.png +1104,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000367,Task_Image_Mask_raw_image\images\000000367.jpg,Task_Image_Mask_raw_image\random_mask\000000367.png +1105,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000368,Task_Image_Mask_raw_image\images\000000368.jpg,Task_Image_Mask_raw_image\random_mask\000000368.png +1106,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000368,Task_Image_Mask_raw_image\images\000000368.jpg,Task_Image_Mask_raw_image\random_mask\000000368.png +1107,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000368,Task_Image_Mask_raw_image\images\000000368.jpg,Task_Image_Mask_raw_image\random_mask\000000368.png +1108,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000369,Task_Image_Mask_raw_image\images\000000369.jpg,Task_Image_Mask_raw_image\random_mask\000000369.png +1109,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000369,Task_Image_Mask_raw_image\images\000000369.jpg,Task_Image_Mask_raw_image\random_mask\000000369.png +1110,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000369,Task_Image_Mask_raw_image\images\000000369.jpg,Task_Image_Mask_raw_image\random_mask\000000369.png +1111,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000370,Task_Image_Mask_raw_image\images\000000370.jpg,Task_Image_Mask_raw_image\random_mask\000000370.png +1112,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000370,Task_Image_Mask_raw_image\images\000000370.jpg,Task_Image_Mask_raw_image\random_mask\000000370.png +1113,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000370,Task_Image_Mask_raw_image\images\000000370.jpg,Task_Image_Mask_raw_image\random_mask\000000370.png +1114,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000371,Task_Image_Mask_raw_image\images\000000371.jpg,Task_Image_Mask_raw_image\random_mask\000000371.png +1115,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000371,Task_Image_Mask_raw_image\images\000000371.jpg,Task_Image_Mask_raw_image\random_mask\000000371.png +1116,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000371,Task_Image_Mask_raw_image\images\000000371.jpg,Task_Image_Mask_raw_image\random_mask\000000371.png +1117,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000372,Task_Image_Mask_raw_image\images\000000372.jpg,Task_Image_Mask_raw_image\random_mask\000000372.png +1118,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000372,Task_Image_Mask_raw_image\images\000000372.jpg,Task_Image_Mask_raw_image\random_mask\000000372.png +1119,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000372,Task_Image_Mask_raw_image\images\000000372.jpg,Task_Image_Mask_raw_image\random_mask\000000372.png +1120,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000373,Task_Image_Mask_raw_image\images\000000373.jpg,Task_Image_Mask_raw_image\random_mask\000000373.png +1121,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000373,Task_Image_Mask_raw_image\images\000000373.jpg,Task_Image_Mask_raw_image\random_mask\000000373.png +1122,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000373,Task_Image_Mask_raw_image\images\000000373.jpg,Task_Image_Mask_raw_image\random_mask\000000373.png +1123,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000374,Task_Image_Mask_raw_image\images\000000374.jpg,Task_Image_Mask_raw_image\random_mask\000000374.png +1124,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000374,Task_Image_Mask_raw_image\images\000000374.jpg,Task_Image_Mask_raw_image\random_mask\000000374.png +1125,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000374,Task_Image_Mask_raw_image\images\000000374.jpg,Task_Image_Mask_raw_image\random_mask\000000374.png +1126,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000375,Task_Image_Mask_raw_image\images\000000375.jpg,Task_Image_Mask_raw_image\random_mask\000000375.png +1127,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000375,Task_Image_Mask_raw_image\images\000000375.jpg,Task_Image_Mask_raw_image\random_mask\000000375.png +1128,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000375,Task_Image_Mask_raw_image\images\000000375.jpg,Task_Image_Mask_raw_image\random_mask\000000375.png +1129,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000376,Task_Image_Mask_raw_image\images\000000376.jpg,Task_Image_Mask_raw_image\random_mask\000000376.png +1130,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000376,Task_Image_Mask_raw_image\images\000000376.jpg,Task_Image_Mask_raw_image\random_mask\000000376.png +1131,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000376,Task_Image_Mask_raw_image\images\000000376.jpg,Task_Image_Mask_raw_image\random_mask\000000376.png +1132,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000377,Task_Image_Mask_raw_image\images\000000377.jpg,Task_Image_Mask_raw_image\random_mask\000000377.png +1133,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000377,Task_Image_Mask_raw_image\images\000000377.jpg,Task_Image_Mask_raw_image\random_mask\000000377.png +1134,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000377,Task_Image_Mask_raw_image\images\000000377.jpg,Task_Image_Mask_raw_image\random_mask\000000377.png +1135,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000378,Task_Image_Mask_raw_image\images\000000378.jpg,Task_Image_Mask_raw_image\random_mask\000000378.png +1136,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000378,Task_Image_Mask_raw_image\images\000000378.jpg,Task_Image_Mask_raw_image\random_mask\000000378.png +1137,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000378,Task_Image_Mask_raw_image\images\000000378.jpg,Task_Image_Mask_raw_image\random_mask\000000378.png +1138,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000379,Task_Image_Mask_raw_image\images\000000379.jpg,Task_Image_Mask_raw_image\random_mask\000000379.png +1139,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000379,Task_Image_Mask_raw_image\images\000000379.jpg,Task_Image_Mask_raw_image\random_mask\000000379.png +1140,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000379,Task_Image_Mask_raw_image\images\000000379.jpg,Task_Image_Mask_raw_image\random_mask\000000379.png +1141,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000380,Task_Image_Mask_raw_image\images\000000380.jpg,Task_Image_Mask_raw_image\random_mask\000000380.png +1142,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000380,Task_Image_Mask_raw_image\images\000000380.jpg,Task_Image_Mask_raw_image\random_mask\000000380.png +1143,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000380,Task_Image_Mask_raw_image\images\000000380.jpg,Task_Image_Mask_raw_image\random_mask\000000380.png +1144,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000381,Task_Image_Mask_raw_image\images\000000381.jpg,Task_Image_Mask_raw_image\random_mask\000000381.png +1145,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000381,Task_Image_Mask_raw_image\images\000000381.jpg,Task_Image_Mask_raw_image\random_mask\000000381.png +1146,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000381,Task_Image_Mask_raw_image\images\000000381.jpg,Task_Image_Mask_raw_image\random_mask\000000381.png +1147,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000382,Task_Image_Mask_raw_image\images\000000382.jpg,Task_Image_Mask_raw_image\random_mask\000000382.png +1148,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000382,Task_Image_Mask_raw_image\images\000000382.jpg,Task_Image_Mask_raw_image\random_mask\000000382.png +1149,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000382,Task_Image_Mask_raw_image\images\000000382.jpg,Task_Image_Mask_raw_image\random_mask\000000382.png +1150,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000383,Task_Image_Mask_raw_image\images\000000383.jpg,Task_Image_Mask_raw_image\random_mask\000000383.png +1151,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000383,Task_Image_Mask_raw_image\images\000000383.jpg,Task_Image_Mask_raw_image\random_mask\000000383.png +1152,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000383,Task_Image_Mask_raw_image\images\000000383.jpg,Task_Image_Mask_raw_image\random_mask\000000383.png +1153,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000384,Task_Image_Mask_raw_image\images\000000384.jpg,Task_Image_Mask_raw_image\random_mask\000000384.png +1154,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000384,Task_Image_Mask_raw_image\images\000000384.jpg,Task_Image_Mask_raw_image\random_mask\000000384.png +1155,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000384,Task_Image_Mask_raw_image\images\000000384.jpg,Task_Image_Mask_raw_image\random_mask\000000384.png +1156,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000385,Task_Image_Mask_raw_image\images\000000385.jpg,Task_Image_Mask_raw_image\random_mask\000000385.png +1157,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000385,Task_Image_Mask_raw_image\images\000000385.jpg,Task_Image_Mask_raw_image\random_mask\000000385.png +1158,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000385,Task_Image_Mask_raw_image\images\000000385.jpg,Task_Image_Mask_raw_image\random_mask\000000385.png +1159,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000386,Task_Image_Mask_raw_image\images\000000386.jpg,Task_Image_Mask_raw_image\random_mask\000000386.png +1160,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000386,Task_Image_Mask_raw_image\images\000000386.jpg,Task_Image_Mask_raw_image\random_mask\000000386.png +1161,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000386,Task_Image_Mask_raw_image\images\000000386.jpg,Task_Image_Mask_raw_image\random_mask\000000386.png +1162,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000387,Task_Image_Mask_raw_image\images\000000387.jpg,Task_Image_Mask_raw_image\random_mask\000000387.png +1163,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000387,Task_Image_Mask_raw_image\images\000000387.jpg,Task_Image_Mask_raw_image\random_mask\000000387.png +1164,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000387,Task_Image_Mask_raw_image\images\000000387.jpg,Task_Image_Mask_raw_image\random_mask\000000387.png +1165,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000388,Task_Image_Mask_raw_image\images\000000388.jpg,Task_Image_Mask_raw_image\random_mask\000000388.png +1166,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000388,Task_Image_Mask_raw_image\images\000000388.jpg,Task_Image_Mask_raw_image\random_mask\000000388.png +1167,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000388,Task_Image_Mask_raw_image\images\000000388.jpg,Task_Image_Mask_raw_image\random_mask\000000388.png +1168,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000389,Task_Image_Mask_raw_image\images\000000389.jpg,Task_Image_Mask_raw_image\random_mask\000000389.png +1169,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000389,Task_Image_Mask_raw_image\images\000000389.jpg,Task_Image_Mask_raw_image\random_mask\000000389.png +1170,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000389,Task_Image_Mask_raw_image\images\000000389.jpg,Task_Image_Mask_raw_image\random_mask\000000389.png +1171,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000390,Task_Image_Mask_raw_image\images\000000390.jpg,Task_Image_Mask_raw_image\random_mask\000000390.png +1172,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000390,Task_Image_Mask_raw_image\images\000000390.jpg,Task_Image_Mask_raw_image\random_mask\000000390.png +1173,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000390,Task_Image_Mask_raw_image\images\000000390.jpg,Task_Image_Mask_raw_image\random_mask\000000390.png +1174,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000391,Task_Image_Mask_raw_image\images\000000391.jpg,Task_Image_Mask_raw_image\random_mask\000000391.png +1175,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000391,Task_Image_Mask_raw_image\images\000000391.jpg,Task_Image_Mask_raw_image\random_mask\000000391.png +1176,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000391,Task_Image_Mask_raw_image\images\000000391.jpg,Task_Image_Mask_raw_image\random_mask\000000391.png +1177,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000392,Task_Image_Mask_raw_image\images\000000392.jpg,Task_Image_Mask_raw_image\random_mask\000000392.png +1178,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000392,Task_Image_Mask_raw_image\images\000000392.jpg,Task_Image_Mask_raw_image\random_mask\000000392.png +1179,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000392,Task_Image_Mask_raw_image\images\000000392.jpg,Task_Image_Mask_raw_image\random_mask\000000392.png +1180,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000393,Task_Image_Mask_raw_image\images\000000393.jpg,Task_Image_Mask_raw_image\random_mask\000000393.png +1181,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000393,Task_Image_Mask_raw_image\images\000000393.jpg,Task_Image_Mask_raw_image\random_mask\000000393.png +1182,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000393,Task_Image_Mask_raw_image\images\000000393.jpg,Task_Image_Mask_raw_image\random_mask\000000393.png +1183,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000394,Task_Image_Mask_raw_image\images\000000394.jpg,Task_Image_Mask_raw_image\random_mask\000000394.png +1184,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000394,Task_Image_Mask_raw_image\images\000000394.jpg,Task_Image_Mask_raw_image\random_mask\000000394.png +1185,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000394,Task_Image_Mask_raw_image\images\000000394.jpg,Task_Image_Mask_raw_image\random_mask\000000394.png +1186,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000395,Task_Image_Mask_raw_image\images\000000395.jpg,Task_Image_Mask_raw_image\random_mask\000000395.png +1187,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000395,Task_Image_Mask_raw_image\images\000000395.jpg,Task_Image_Mask_raw_image\random_mask\000000395.png +1188,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000395,Task_Image_Mask_raw_image\images\000000395.jpg,Task_Image_Mask_raw_image\random_mask\000000395.png +1189,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000396,Task_Image_Mask_raw_image\images\000000396.jpg,Task_Image_Mask_raw_image\random_mask\000000396.png +1190,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000396,Task_Image_Mask_raw_image\images\000000396.jpg,Task_Image_Mask_raw_image\random_mask\000000396.png +1191,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000396,Task_Image_Mask_raw_image\images\000000396.jpg,Task_Image_Mask_raw_image\random_mask\000000396.png +1192,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000397,Task_Image_Mask_raw_image\images\000000397.jpg,Task_Image_Mask_raw_image\random_mask\000000397.png +1193,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000397,Task_Image_Mask_raw_image\images\000000397.jpg,Task_Image_Mask_raw_image\random_mask\000000397.png +1194,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000397,Task_Image_Mask_raw_image\images\000000397.jpg,Task_Image_Mask_raw_image\random_mask\000000397.png +1195,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000398,Task_Image_Mask_raw_image\images\000000398.jpg,Task_Image_Mask_raw_image\random_mask\000000398.png +1196,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000398,Task_Image_Mask_raw_image\images\000000398.jpg,Task_Image_Mask_raw_image\random_mask\000000398.png +1197,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000398,Task_Image_Mask_raw_image\images\000000398.jpg,Task_Image_Mask_raw_image\random_mask\000000398.png +1198,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000399,Task_Image_Mask_raw_image\images\000000399.jpg,Task_Image_Mask_raw_image\random_mask\000000399.png +1199,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000399,Task_Image_Mask_raw_image\images\000000399.jpg,Task_Image_Mask_raw_image\random_mask\000000399.png +1200,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000399,Task_Image_Mask_raw_image\images\000000399.jpg,Task_Image_Mask_raw_image\random_mask\000000399.png +1201,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000400,Task_Image_Mask_raw_image\images\000000400.jpg,Task_Image_Mask_raw_image\random_mask\000000400.png +1202,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000400,Task_Image_Mask_raw_image\images\000000400.jpg,Task_Image_Mask_raw_image\random_mask\000000400.png +1203,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000400,Task_Image_Mask_raw_image\images\000000400.jpg,Task_Image_Mask_raw_image\random_mask\000000400.png +1204,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000401,Task_Image_Mask_raw_image\images\000000401.jpg,Task_Image_Mask_raw_image\random_mask\000000401.png +1205,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000401,Task_Image_Mask_raw_image\images\000000401.jpg,Task_Image_Mask_raw_image\random_mask\000000401.png +1206,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000401,Task_Image_Mask_raw_image\images\000000401.jpg,Task_Image_Mask_raw_image\random_mask\000000401.png +1207,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000402,Task_Image_Mask_raw_image\images\000000402.jpg,Task_Image_Mask_raw_image\random_mask\000000402.png +1208,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000402,Task_Image_Mask_raw_image\images\000000402.jpg,Task_Image_Mask_raw_image\random_mask\000000402.png +1209,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000402,Task_Image_Mask_raw_image\images\000000402.jpg,Task_Image_Mask_raw_image\random_mask\000000402.png +1210,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000403,Task_Image_Mask_raw_image\images\000000403.jpg,Task_Image_Mask_raw_image\random_mask\000000403.png +1211,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000403,Task_Image_Mask_raw_image\images\000000403.jpg,Task_Image_Mask_raw_image\random_mask\000000403.png +1212,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000403,Task_Image_Mask_raw_image\images\000000403.jpg,Task_Image_Mask_raw_image\random_mask\000000403.png +1213,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000404,Task_Image_Mask_raw_image\images\000000404.jpg,Task_Image_Mask_raw_image\random_mask\000000404.png +1214,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000404,Task_Image_Mask_raw_image\images\000000404.jpg,Task_Image_Mask_raw_image\random_mask\000000404.png +1215,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000404,Task_Image_Mask_raw_image\images\000000404.jpg,Task_Image_Mask_raw_image\random_mask\000000404.png +1216,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000405,Task_Image_Mask_raw_image\images\000000405.jpg,Task_Image_Mask_raw_image\random_mask\000000405.png +1217,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000405,Task_Image_Mask_raw_image\images\000000405.jpg,Task_Image_Mask_raw_image\random_mask\000000405.png +1218,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000405,Task_Image_Mask_raw_image\images\000000405.jpg,Task_Image_Mask_raw_image\random_mask\000000405.png +1219,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000406,Task_Image_Mask_raw_image\images\000000406.jpg,Task_Image_Mask_raw_image\random_mask\000000406.png +1220,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000406,Task_Image_Mask_raw_image\images\000000406.jpg,Task_Image_Mask_raw_image\random_mask\000000406.png +1221,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000406,Task_Image_Mask_raw_image\images\000000406.jpg,Task_Image_Mask_raw_image\random_mask\000000406.png +1222,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000407,Task_Image_Mask_raw_image\images\000000407.jpg,Task_Image_Mask_raw_image\random_mask\000000407.png +1223,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000407,Task_Image_Mask_raw_image\images\000000407.jpg,Task_Image_Mask_raw_image\random_mask\000000407.png +1224,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000407,Task_Image_Mask_raw_image\images\000000407.jpg,Task_Image_Mask_raw_image\random_mask\000000407.png +1225,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000408,Task_Image_Mask_raw_image\images\000000408.jpg,Task_Image_Mask_raw_image\random_mask\000000408.png +1226,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000408,Task_Image_Mask_raw_image\images\000000408.jpg,Task_Image_Mask_raw_image\random_mask\000000408.png +1227,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000408,Task_Image_Mask_raw_image\images\000000408.jpg,Task_Image_Mask_raw_image\random_mask\000000408.png +1228,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000409,Task_Image_Mask_raw_image\images\000000409.jpg,Task_Image_Mask_raw_image\random_mask\000000409.png +1229,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000409,Task_Image_Mask_raw_image\images\000000409.jpg,Task_Image_Mask_raw_image\random_mask\000000409.png +1230,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000409,Task_Image_Mask_raw_image\images\000000409.jpg,Task_Image_Mask_raw_image\random_mask\000000409.png +1231,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000410,Task_Image_Mask_raw_image\images\000000410.jpg,Task_Image_Mask_raw_image\random_mask\000000410.png +1232,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000410,Task_Image_Mask_raw_image\images\000000410.jpg,Task_Image_Mask_raw_image\random_mask\000000410.png +1233,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000410,Task_Image_Mask_raw_image\images\000000410.jpg,Task_Image_Mask_raw_image\random_mask\000000410.png +1234,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000411,Task_Image_Mask_raw_image\images\000000411.jpg,Task_Image_Mask_raw_image\random_mask\000000411.png +1235,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000411,Task_Image_Mask_raw_image\images\000000411.jpg,Task_Image_Mask_raw_image\random_mask\000000411.png +1236,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000411,Task_Image_Mask_raw_image\images\000000411.jpg,Task_Image_Mask_raw_image\random_mask\000000411.png +1237,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000412,Task_Image_Mask_raw_image\images\000000412.jpg,Task_Image_Mask_raw_image\random_mask\000000412.png +1238,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000412,Task_Image_Mask_raw_image\images\000000412.jpg,Task_Image_Mask_raw_image\random_mask\000000412.png +1239,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000412,Task_Image_Mask_raw_image\images\000000412.jpg,Task_Image_Mask_raw_image\random_mask\000000412.png +1240,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000413,Task_Image_Mask_raw_image\images\000000413.jpg,Task_Image_Mask_raw_image\random_mask\000000413.png +1241,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000413,Task_Image_Mask_raw_image\images\000000413.jpg,Task_Image_Mask_raw_image\random_mask\000000413.png +1242,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000413,Task_Image_Mask_raw_image\images\000000413.jpg,Task_Image_Mask_raw_image\random_mask\000000413.png +1243,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000414,Task_Image_Mask_raw_image\images\000000414.jpg,Task_Image_Mask_raw_image\random_mask\000000414.png +1244,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000414,Task_Image_Mask_raw_image\images\000000414.jpg,Task_Image_Mask_raw_image\random_mask\000000414.png +1245,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000414,Task_Image_Mask_raw_image\images\000000414.jpg,Task_Image_Mask_raw_image\random_mask\000000414.png +1246,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000415,Task_Image_Mask_raw_image\images\000000415.jpg,Task_Image_Mask_raw_image\random_mask\000000415.png +1247,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000415,Task_Image_Mask_raw_image\images\000000415.jpg,Task_Image_Mask_raw_image\random_mask\000000415.png +1248,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000415,Task_Image_Mask_raw_image\images\000000415.jpg,Task_Image_Mask_raw_image\random_mask\000000415.png +1249,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000416,Task_Image_Mask_raw_image\images\000000416.jpg,Task_Image_Mask_raw_image\random_mask\000000416.png +1250,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000416,Task_Image_Mask_raw_image\images\000000416.jpg,Task_Image_Mask_raw_image\random_mask\000000416.png +1251,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000416,Task_Image_Mask_raw_image\images\000000416.jpg,Task_Image_Mask_raw_image\random_mask\000000416.png +1252,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000417,Task_Image_Mask_raw_image\images\000000417.jpg,Task_Image_Mask_raw_image\random_mask\000000417.png +1253,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000417,Task_Image_Mask_raw_image\images\000000417.jpg,Task_Image_Mask_raw_image\random_mask\000000417.png +1254,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000417,Task_Image_Mask_raw_image\images\000000417.jpg,Task_Image_Mask_raw_image\random_mask\000000417.png +1255,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000418,Task_Image_Mask_raw_image\images\000000418.jpg,Task_Image_Mask_raw_image\random_mask\000000418.png +1256,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000418,Task_Image_Mask_raw_image\images\000000418.jpg,Task_Image_Mask_raw_image\random_mask\000000418.png +1257,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000418,Task_Image_Mask_raw_image\images\000000418.jpg,Task_Image_Mask_raw_image\random_mask\000000418.png +1258,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000419,Task_Image_Mask_raw_image\images\000000419.jpg,Task_Image_Mask_raw_image\random_mask\000000419.png +1259,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000419,Task_Image_Mask_raw_image\images\000000419.jpg,Task_Image_Mask_raw_image\random_mask\000000419.png +1260,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000419,Task_Image_Mask_raw_image\images\000000419.jpg,Task_Image_Mask_raw_image\random_mask\000000419.png +1261,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000420,Task_Image_Mask_raw_image\images\000000420.jpg,Task_Image_Mask_raw_image\random_mask\000000420.png +1262,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000420,Task_Image_Mask_raw_image\images\000000420.jpg,Task_Image_Mask_raw_image\random_mask\000000420.png +1263,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000420,Task_Image_Mask_raw_image\images\000000420.jpg,Task_Image_Mask_raw_image\random_mask\000000420.png +1264,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000421,Task_Image_Mask_raw_image\images\000000421.jpg,Task_Image_Mask_raw_image\random_mask\000000421.png +1265,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000421,Task_Image_Mask_raw_image\images\000000421.jpg,Task_Image_Mask_raw_image\random_mask\000000421.png +1266,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000421,Task_Image_Mask_raw_image\images\000000421.jpg,Task_Image_Mask_raw_image\random_mask\000000421.png +1267,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000422,Task_Image_Mask_raw_image\images\000000422.jpg,Task_Image_Mask_raw_image\random_mask\000000422.png +1268,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000422,Task_Image_Mask_raw_image\images\000000422.jpg,Task_Image_Mask_raw_image\random_mask\000000422.png +1269,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000422,Task_Image_Mask_raw_image\images\000000422.jpg,Task_Image_Mask_raw_image\random_mask\000000422.png +1270,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000423,Task_Image_Mask_raw_image\images\000000423.jpg,Task_Image_Mask_raw_image\random_mask\000000423.png +1271,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000423,Task_Image_Mask_raw_image\images\000000423.jpg,Task_Image_Mask_raw_image\random_mask\000000423.png +1272,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000423,Task_Image_Mask_raw_image\images\000000423.jpg,Task_Image_Mask_raw_image\random_mask\000000423.png +1273,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000424,Task_Image_Mask_raw_image\images\000000424.jpg,Task_Image_Mask_raw_image\random_mask\000000424.png +1274,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000424,Task_Image_Mask_raw_image\images\000000424.jpg,Task_Image_Mask_raw_image\random_mask\000000424.png +1275,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000424,Task_Image_Mask_raw_image\images\000000424.jpg,Task_Image_Mask_raw_image\random_mask\000000424.png +1276,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000425,Task_Image_Mask_raw_image\images\000000425.jpg,Task_Image_Mask_raw_image\random_mask\000000425.png +1277,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000425,Task_Image_Mask_raw_image\images\000000425.jpg,Task_Image_Mask_raw_image\random_mask\000000425.png +1278,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000425,Task_Image_Mask_raw_image\images\000000425.jpg,Task_Image_Mask_raw_image\random_mask\000000425.png +1279,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000426,Task_Image_Mask_raw_image\images\000000426.jpg,Task_Image_Mask_raw_image\random_mask\000000426.png +1280,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000426,Task_Image_Mask_raw_image\images\000000426.jpg,Task_Image_Mask_raw_image\random_mask\000000426.png +1281,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000426,Task_Image_Mask_raw_image\images\000000426.jpg,Task_Image_Mask_raw_image\random_mask\000000426.png +1282,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000427,Task_Image_Mask_raw_image\images\000000427.jpg,Task_Image_Mask_raw_image\random_mask\000000427.png +1283,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000427,Task_Image_Mask_raw_image\images\000000427.jpg,Task_Image_Mask_raw_image\random_mask\000000427.png +1284,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000427,Task_Image_Mask_raw_image\images\000000427.jpg,Task_Image_Mask_raw_image\random_mask\000000427.png +1285,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000428,Task_Image_Mask_raw_image\images\000000428.jpg,Task_Image_Mask_raw_image\random_mask\000000428.png +1286,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000428,Task_Image_Mask_raw_image\images\000000428.jpg,Task_Image_Mask_raw_image\random_mask\000000428.png +1287,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000428,Task_Image_Mask_raw_image\images\000000428.jpg,Task_Image_Mask_raw_image\random_mask\000000428.png +1288,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000429,Task_Image_Mask_raw_image\images\000000429.jpg,Task_Image_Mask_raw_image\random_mask\000000429.png +1289,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000429,Task_Image_Mask_raw_image\images\000000429.jpg,Task_Image_Mask_raw_image\random_mask\000000429.png +1290,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000429,Task_Image_Mask_raw_image\images\000000429.jpg,Task_Image_Mask_raw_image\random_mask\000000429.png +1291,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000430,Task_Image_Mask_raw_image\images\000000430.jpg,Task_Image_Mask_raw_image\random_mask\000000430.png +1292,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000430,Task_Image_Mask_raw_image\images\000000430.jpg,Task_Image_Mask_raw_image\random_mask\000000430.png +1293,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000430,Task_Image_Mask_raw_image\images\000000430.jpg,Task_Image_Mask_raw_image\random_mask\000000430.png +1294,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000431,Task_Image_Mask_raw_image\images\000000431.jpg,Task_Image_Mask_raw_image\random_mask\000000431.png +1295,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000431,Task_Image_Mask_raw_image\images\000000431.jpg,Task_Image_Mask_raw_image\random_mask\000000431.png +1296,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000431,Task_Image_Mask_raw_image\images\000000431.jpg,Task_Image_Mask_raw_image\random_mask\000000431.png +1297,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000432,Task_Image_Mask_raw_image\images\000000432.jpg,Task_Image_Mask_raw_image\random_mask\000000432.png +1298,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000432,Task_Image_Mask_raw_image\images\000000432.jpg,Task_Image_Mask_raw_image\random_mask\000000432.png +1299,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000432,Task_Image_Mask_raw_image\images\000000432.jpg,Task_Image_Mask_raw_image\random_mask\000000432.png +1300,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000433,Task_Image_Mask_raw_image\images\000000433.jpg,Task_Image_Mask_raw_image\random_mask\000000433.png +1301,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000433,Task_Image_Mask_raw_image\images\000000433.jpg,Task_Image_Mask_raw_image\random_mask\000000433.png +1302,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000433,Task_Image_Mask_raw_image\images\000000433.jpg,Task_Image_Mask_raw_image\random_mask\000000433.png +1303,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000434,Task_Image_Mask_raw_image\images\000000434.jpg,Task_Image_Mask_raw_image\random_mask\000000434.png +1304,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000434,Task_Image_Mask_raw_image\images\000000434.jpg,Task_Image_Mask_raw_image\random_mask\000000434.png +1305,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000434,Task_Image_Mask_raw_image\images\000000434.jpg,Task_Image_Mask_raw_image\random_mask\000000434.png +1306,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000435,Task_Image_Mask_raw_image\images\000000435.jpg,Task_Image_Mask_raw_image\random_mask\000000435.png +1307,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000435,Task_Image_Mask_raw_image\images\000000435.jpg,Task_Image_Mask_raw_image\random_mask\000000435.png +1308,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000435,Task_Image_Mask_raw_image\images\000000435.jpg,Task_Image_Mask_raw_image\random_mask\000000435.png +1309,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000436,Task_Image_Mask_raw_image\images\000000436.jpg,Task_Image_Mask_raw_image\random_mask\000000436.png +1310,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000436,Task_Image_Mask_raw_image\images\000000436.jpg,Task_Image_Mask_raw_image\random_mask\000000436.png +1311,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000436,Task_Image_Mask_raw_image\images\000000436.jpg,Task_Image_Mask_raw_image\random_mask\000000436.png +1312,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000437,Task_Image_Mask_raw_image\images\000000437.jpg,Task_Image_Mask_raw_image\random_mask\000000437.png +1313,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000437,Task_Image_Mask_raw_image\images\000000437.jpg,Task_Image_Mask_raw_image\random_mask\000000437.png +1314,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000437,Task_Image_Mask_raw_image\images\000000437.jpg,Task_Image_Mask_raw_image\random_mask\000000437.png +1315,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000438,Task_Image_Mask_raw_image\images\000000438.jpg,Task_Image_Mask_raw_image\random_mask\000000438.png +1316,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000438,Task_Image_Mask_raw_image\images\000000438.jpg,Task_Image_Mask_raw_image\random_mask\000000438.png +1317,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000438,Task_Image_Mask_raw_image\images\000000438.jpg,Task_Image_Mask_raw_image\random_mask\000000438.png +1318,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000439,Task_Image_Mask_raw_image\images\000000439.jpg,Task_Image_Mask_raw_image\random_mask\000000439.png +1319,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000439,Task_Image_Mask_raw_image\images\000000439.jpg,Task_Image_Mask_raw_image\random_mask\000000439.png +1320,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000439,Task_Image_Mask_raw_image\images\000000439.jpg,Task_Image_Mask_raw_image\random_mask\000000439.png +1321,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000440,Task_Image_Mask_raw_image\images\000000440.jpg,Task_Image_Mask_raw_image\random_mask\000000440.png +1322,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000440,Task_Image_Mask_raw_image\images\000000440.jpg,Task_Image_Mask_raw_image\random_mask\000000440.png +1323,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000440,Task_Image_Mask_raw_image\images\000000440.jpg,Task_Image_Mask_raw_image\random_mask\000000440.png +1324,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000441,Task_Image_Mask_raw_image\images\000000441.jpg,Task_Image_Mask_raw_image\random_mask\000000441.png +1325,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000441,Task_Image_Mask_raw_image\images\000000441.jpg,Task_Image_Mask_raw_image\random_mask\000000441.png +1326,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000441,Task_Image_Mask_raw_image\images\000000441.jpg,Task_Image_Mask_raw_image\random_mask\000000441.png +1327,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000442,Task_Image_Mask_raw_image\images\000000442.jpg,Task_Image_Mask_raw_image\random_mask\000000442.png +1328,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000442,Task_Image_Mask_raw_image\images\000000442.jpg,Task_Image_Mask_raw_image\random_mask\000000442.png +1329,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000442,Task_Image_Mask_raw_image\images\000000442.jpg,Task_Image_Mask_raw_image\random_mask\000000442.png +1330,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000443,Task_Image_Mask_raw_image\images\000000443.jpg,Task_Image_Mask_raw_image\random_mask\000000443.png +1331,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000443,Task_Image_Mask_raw_image\images\000000443.jpg,Task_Image_Mask_raw_image\random_mask\000000443.png +1332,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000443,Task_Image_Mask_raw_image\images\000000443.jpg,Task_Image_Mask_raw_image\random_mask\000000443.png +1333,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000444,Task_Image_Mask_raw_image\images\000000444.jpg,Task_Image_Mask_raw_image\random_mask\000000444.png +1334,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000444,Task_Image_Mask_raw_image\images\000000444.jpg,Task_Image_Mask_raw_image\random_mask\000000444.png +1335,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000444,Task_Image_Mask_raw_image\images\000000444.jpg,Task_Image_Mask_raw_image\random_mask\000000444.png +1336,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000445,Task_Image_Mask_raw_image\images\000000445.jpg,Task_Image_Mask_raw_image\random_mask\000000445.png +1337,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000445,Task_Image_Mask_raw_image\images\000000445.jpg,Task_Image_Mask_raw_image\random_mask\000000445.png +1338,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000445,Task_Image_Mask_raw_image\images\000000445.jpg,Task_Image_Mask_raw_image\random_mask\000000445.png +1339,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000446,Task_Image_Mask_raw_image\images\000000446.jpg,Task_Image_Mask_raw_image\random_mask\000000446.png +1340,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000446,Task_Image_Mask_raw_image\images\000000446.jpg,Task_Image_Mask_raw_image\random_mask\000000446.png +1341,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000446,Task_Image_Mask_raw_image\images\000000446.jpg,Task_Image_Mask_raw_image\random_mask\000000446.png +1342,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000447,Task_Image_Mask_raw_image\images\000000447.jpg,Task_Image_Mask_raw_image\random_mask\000000447.png +1343,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000447,Task_Image_Mask_raw_image\images\000000447.jpg,Task_Image_Mask_raw_image\random_mask\000000447.png +1344,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000447,Task_Image_Mask_raw_image\images\000000447.jpg,Task_Image_Mask_raw_image\random_mask\000000447.png +1345,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000448,Task_Image_Mask_raw_image\images\000000448.jpg,Task_Image_Mask_raw_image\random_mask\000000448.png +1346,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000448,Task_Image_Mask_raw_image\images\000000448.jpg,Task_Image_Mask_raw_image\random_mask\000000448.png +1347,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000448,Task_Image_Mask_raw_image\images\000000448.jpg,Task_Image_Mask_raw_image\random_mask\000000448.png +1348,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000449,Task_Image_Mask_raw_image\images\000000449.jpg,Task_Image_Mask_raw_image\random_mask\000000449.png +1349,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000449,Task_Image_Mask_raw_image\images\000000449.jpg,Task_Image_Mask_raw_image\random_mask\000000449.png +1350,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000449,Task_Image_Mask_raw_image\images\000000449.jpg,Task_Image_Mask_raw_image\random_mask\000000449.png +1351,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000450,Task_Image_Mask_raw_image\images\000000450.jpg,Task_Image_Mask_raw_image\random_mask\000000450.png +1352,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000450,Task_Image_Mask_raw_image\images\000000450.jpg,Task_Image_Mask_raw_image\random_mask\000000450.png +1353,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000450,Task_Image_Mask_raw_image\images\000000450.jpg,Task_Image_Mask_raw_image\random_mask\000000450.png +1354,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000451,Task_Image_Mask_raw_image\images\000000451.jpg,Task_Image_Mask_raw_image\random_mask\000000451.png +1355,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000451,Task_Image_Mask_raw_image\images\000000451.jpg,Task_Image_Mask_raw_image\random_mask\000000451.png +1356,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000451,Task_Image_Mask_raw_image\images\000000451.jpg,Task_Image_Mask_raw_image\random_mask\000000451.png +1357,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000452,Task_Image_Mask_raw_image\images\000000452.jpg,Task_Image_Mask_raw_image\random_mask\000000452.png +1358,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000452,Task_Image_Mask_raw_image\images\000000452.jpg,Task_Image_Mask_raw_image\random_mask\000000452.png +1359,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000452,Task_Image_Mask_raw_image\images\000000452.jpg,Task_Image_Mask_raw_image\random_mask\000000452.png +1360,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000453,Task_Image_Mask_raw_image\images\000000453.jpg,Task_Image_Mask_raw_image\random_mask\000000453.png +1361,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000453,Task_Image_Mask_raw_image\images\000000453.jpg,Task_Image_Mask_raw_image\random_mask\000000453.png +1362,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000453,Task_Image_Mask_raw_image\images\000000453.jpg,Task_Image_Mask_raw_image\random_mask\000000453.png +1363,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000454,Task_Image_Mask_raw_image\images\000000454.jpg,Task_Image_Mask_raw_image\random_mask\000000454.png +1364,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000454,Task_Image_Mask_raw_image\images\000000454.jpg,Task_Image_Mask_raw_image\random_mask\000000454.png +1365,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000454,Task_Image_Mask_raw_image\images\000000454.jpg,Task_Image_Mask_raw_image\random_mask\000000454.png +1366,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000455,Task_Image_Mask_raw_image\images\000000455.jpg,Task_Image_Mask_raw_image\random_mask\000000455.png +1367,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000455,Task_Image_Mask_raw_image\images\000000455.jpg,Task_Image_Mask_raw_image\random_mask\000000455.png +1368,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000455,Task_Image_Mask_raw_image\images\000000455.jpg,Task_Image_Mask_raw_image\random_mask\000000455.png +1369,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000456,Task_Image_Mask_raw_image\images\000000456.jpg,Task_Image_Mask_raw_image\random_mask\000000456.png +1370,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000456,Task_Image_Mask_raw_image\images\000000456.jpg,Task_Image_Mask_raw_image\random_mask\000000456.png +1371,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000456,Task_Image_Mask_raw_image\images\000000456.jpg,Task_Image_Mask_raw_image\random_mask\000000456.png +1372,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000457,Task_Image_Mask_raw_image\images\000000457.jpg,Task_Image_Mask_raw_image\random_mask\000000457.png +1373,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000457,Task_Image_Mask_raw_image\images\000000457.jpg,Task_Image_Mask_raw_image\random_mask\000000457.png +1374,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000457,Task_Image_Mask_raw_image\images\000000457.jpg,Task_Image_Mask_raw_image\random_mask\000000457.png +1375,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000458,Task_Image_Mask_raw_image\images\000000458.jpg,Task_Image_Mask_raw_image\random_mask\000000458.png +1376,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000458,Task_Image_Mask_raw_image\images\000000458.jpg,Task_Image_Mask_raw_image\random_mask\000000458.png +1377,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000458,Task_Image_Mask_raw_image\images\000000458.jpg,Task_Image_Mask_raw_image\random_mask\000000458.png +1378,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000459,Task_Image_Mask_raw_image\images\000000459.jpg,Task_Image_Mask_raw_image\random_mask\000000459.png +1379,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000459,Task_Image_Mask_raw_image\images\000000459.jpg,Task_Image_Mask_raw_image\random_mask\000000459.png +1380,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000459,Task_Image_Mask_raw_image\images\000000459.jpg,Task_Image_Mask_raw_image\random_mask\000000459.png +1381,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000460,Task_Image_Mask_raw_image\images\000000460.jpg,Task_Image_Mask_raw_image\random_mask\000000460.png +1382,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000460,Task_Image_Mask_raw_image\images\000000460.jpg,Task_Image_Mask_raw_image\random_mask\000000460.png +1383,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000460,Task_Image_Mask_raw_image\images\000000460.jpg,Task_Image_Mask_raw_image\random_mask\000000460.png +1384,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000461,Task_Image_Mask_raw_image\images\000000461.jpg,Task_Image_Mask_raw_image\random_mask\000000461.png +1385,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000461,Task_Image_Mask_raw_image\images\000000461.jpg,Task_Image_Mask_raw_image\random_mask\000000461.png +1386,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000461,Task_Image_Mask_raw_image\images\000000461.jpg,Task_Image_Mask_raw_image\random_mask\000000461.png +1387,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000462,Task_Image_Mask_raw_image\images\000000462.jpg,Task_Image_Mask_raw_image\random_mask\000000462.png +1388,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000462,Task_Image_Mask_raw_image\images\000000462.jpg,Task_Image_Mask_raw_image\random_mask\000000462.png +1389,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000462,Task_Image_Mask_raw_image\images\000000462.jpg,Task_Image_Mask_raw_image\random_mask\000000462.png +1390,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000463,Task_Image_Mask_raw_image\images\000000463.jpg,Task_Image_Mask_raw_image\random_mask\000000463.png +1391,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000463,Task_Image_Mask_raw_image\images\000000463.jpg,Task_Image_Mask_raw_image\random_mask\000000463.png +1392,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000463,Task_Image_Mask_raw_image\images\000000463.jpg,Task_Image_Mask_raw_image\random_mask\000000463.png +1393,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000464,Task_Image_Mask_raw_image\images\000000464.jpg,Task_Image_Mask_raw_image\random_mask\000000464.png +1394,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000464,Task_Image_Mask_raw_image\images\000000464.jpg,Task_Image_Mask_raw_image\random_mask\000000464.png +1395,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000464,Task_Image_Mask_raw_image\images\000000464.jpg,Task_Image_Mask_raw_image\random_mask\000000464.png +1396,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000465,Task_Image_Mask_raw_image\images\000000465.jpg,Task_Image_Mask_raw_image\random_mask\000000465.png +1397,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000465,Task_Image_Mask_raw_image\images\000000465.jpg,Task_Image_Mask_raw_image\random_mask\000000465.png +1398,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000465,Task_Image_Mask_raw_image\images\000000465.jpg,Task_Image_Mask_raw_image\random_mask\000000465.png +1399,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000466,Task_Image_Mask_raw_image\images\000000466.jpg,Task_Image_Mask_raw_image\random_mask\000000466.png +1400,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000466,Task_Image_Mask_raw_image\images\000000466.jpg,Task_Image_Mask_raw_image\random_mask\000000466.png +1401,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000466,Task_Image_Mask_raw_image\images\000000466.jpg,Task_Image_Mask_raw_image\random_mask\000000466.png +1402,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000467,Task_Image_Mask_raw_image\images\000000467.jpg,Task_Image_Mask_raw_image\random_mask\000000467.png +1403,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000467,Task_Image_Mask_raw_image\images\000000467.jpg,Task_Image_Mask_raw_image\random_mask\000000467.png +1404,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000467,Task_Image_Mask_raw_image\images\000000467.jpg,Task_Image_Mask_raw_image\random_mask\000000467.png +1405,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000468,Task_Image_Mask_raw_image\images\000000468.jpg,Task_Image_Mask_raw_image\random_mask\000000468.png +1406,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000468,Task_Image_Mask_raw_image\images\000000468.jpg,Task_Image_Mask_raw_image\random_mask\000000468.png +1407,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000468,Task_Image_Mask_raw_image\images\000000468.jpg,Task_Image_Mask_raw_image\random_mask\000000468.png +1408,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000469,Task_Image_Mask_raw_image\images\000000469.jpg,Task_Image_Mask_raw_image\random_mask\000000469.png +1409,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000469,Task_Image_Mask_raw_image\images\000000469.jpg,Task_Image_Mask_raw_image\random_mask\000000469.png +1410,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000469,Task_Image_Mask_raw_image\images\000000469.jpg,Task_Image_Mask_raw_image\random_mask\000000469.png +1411,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000470,Task_Image_Mask_raw_image\images\000000470.jpg,Task_Image_Mask_raw_image\random_mask\000000470.png +1412,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000470,Task_Image_Mask_raw_image\images\000000470.jpg,Task_Image_Mask_raw_image\random_mask\000000470.png +1413,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000470,Task_Image_Mask_raw_image\images\000000470.jpg,Task_Image_Mask_raw_image\random_mask\000000470.png +1414,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000471,Task_Image_Mask_raw_image\images\000000471.jpg,Task_Image_Mask_raw_image\random_mask\000000471.png +1415,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000471,Task_Image_Mask_raw_image\images\000000471.jpg,Task_Image_Mask_raw_image\random_mask\000000471.png +1416,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000471,Task_Image_Mask_raw_image\images\000000471.jpg,Task_Image_Mask_raw_image\random_mask\000000471.png +1417,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000472,Task_Image_Mask_raw_image\images\000000472.jpg,Task_Image_Mask_raw_image\random_mask\000000472.png +1418,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000472,Task_Image_Mask_raw_image\images\000000472.jpg,Task_Image_Mask_raw_image\random_mask\000000472.png +1419,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000472,Task_Image_Mask_raw_image\images\000000472.jpg,Task_Image_Mask_raw_image\random_mask\000000472.png +1420,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000473,Task_Image_Mask_raw_image\images\000000473.jpg,Task_Image_Mask_raw_image\random_mask\000000473.png +1421,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000473,Task_Image_Mask_raw_image\images\000000473.jpg,Task_Image_Mask_raw_image\random_mask\000000473.png +1422,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000473,Task_Image_Mask_raw_image\images\000000473.jpg,Task_Image_Mask_raw_image\random_mask\000000473.png +1423,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000474,Task_Image_Mask_raw_image\images\000000474.jpg,Task_Image_Mask_raw_image\random_mask\000000474.png +1424,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000474,Task_Image_Mask_raw_image\images\000000474.jpg,Task_Image_Mask_raw_image\random_mask\000000474.png +1425,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000474,Task_Image_Mask_raw_image\images\000000474.jpg,Task_Image_Mask_raw_image\random_mask\000000474.png +1426,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000475,Task_Image_Mask_raw_image\images\000000475.jpg,Task_Image_Mask_raw_image\random_mask\000000475.png +1427,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000475,Task_Image_Mask_raw_image\images\000000475.jpg,Task_Image_Mask_raw_image\random_mask\000000475.png +1428,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000475,Task_Image_Mask_raw_image\images\000000475.jpg,Task_Image_Mask_raw_image\random_mask\000000475.png +1429,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000476,Task_Image_Mask_raw_image\images\000000476.jpg,Task_Image_Mask_raw_image\random_mask\000000476.png +1430,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000476,Task_Image_Mask_raw_image\images\000000476.jpg,Task_Image_Mask_raw_image\random_mask\000000476.png +1431,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000476,Task_Image_Mask_raw_image\images\000000476.jpg,Task_Image_Mask_raw_image\random_mask\000000476.png +1432,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000477,Task_Image_Mask_raw_image\images\000000477.jpg,Task_Image_Mask_raw_image\random_mask\000000477.png +1433,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000477,Task_Image_Mask_raw_image\images\000000477.jpg,Task_Image_Mask_raw_image\random_mask\000000477.png +1434,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000477,Task_Image_Mask_raw_image\images\000000477.jpg,Task_Image_Mask_raw_image\random_mask\000000477.png +1435,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000478,Task_Image_Mask_raw_image\images\000000478.jpg,Task_Image_Mask_raw_image\random_mask\000000478.png +1436,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000478,Task_Image_Mask_raw_image\images\000000478.jpg,Task_Image_Mask_raw_image\random_mask\000000478.png +1437,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000478,Task_Image_Mask_raw_image\images\000000478.jpg,Task_Image_Mask_raw_image\random_mask\000000478.png +1438,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000479,Task_Image_Mask_raw_image\images\000000479.jpg,Task_Image_Mask_raw_image\random_mask\000000479.png +1439,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000479,Task_Image_Mask_raw_image\images\000000479.jpg,Task_Image_Mask_raw_image\random_mask\000000479.png +1440,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000479,Task_Image_Mask_raw_image\images\000000479.jpg,Task_Image_Mask_raw_image\random_mask\000000479.png +1441,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000480,Task_Image_Mask_raw_image\images\000000480.jpg,Task_Image_Mask_raw_image\random_mask\000000480.png +1442,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000480,Task_Image_Mask_raw_image\images\000000480.jpg,Task_Image_Mask_raw_image\random_mask\000000480.png +1443,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000480,Task_Image_Mask_raw_image\images\000000480.jpg,Task_Image_Mask_raw_image\random_mask\000000480.png +1444,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000481,Task_Image_Mask_raw_image\images\000000481.jpg,Task_Image_Mask_raw_image\random_mask\000000481.png +1445,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000481,Task_Image_Mask_raw_image\images\000000481.jpg,Task_Image_Mask_raw_image\random_mask\000000481.png +1446,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000481,Task_Image_Mask_raw_image\images\000000481.jpg,Task_Image_Mask_raw_image\random_mask\000000481.png +1447,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000482,Task_Image_Mask_raw_image\images\000000482.jpg,Task_Image_Mask_raw_image\random_mask\000000482.png +1448,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000482,Task_Image_Mask_raw_image\images\000000482.jpg,Task_Image_Mask_raw_image\random_mask\000000482.png +1449,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000482,Task_Image_Mask_raw_image\images\000000482.jpg,Task_Image_Mask_raw_image\random_mask\000000482.png +1450,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000483,Task_Image_Mask_raw_image\images\000000483.jpg,Task_Image_Mask_raw_image\random_mask\000000483.png +1451,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000483,Task_Image_Mask_raw_image\images\000000483.jpg,Task_Image_Mask_raw_image\random_mask\000000483.png +1452,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000483,Task_Image_Mask_raw_image\images\000000483.jpg,Task_Image_Mask_raw_image\random_mask\000000483.png +1453,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000484,Task_Image_Mask_raw_image\images\000000484.jpg,Task_Image_Mask_raw_image\random_mask\000000484.png +1454,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000484,Task_Image_Mask_raw_image\images\000000484.jpg,Task_Image_Mask_raw_image\random_mask\000000484.png +1455,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000484,Task_Image_Mask_raw_image\images\000000484.jpg,Task_Image_Mask_raw_image\random_mask\000000484.png +1456,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000485,Task_Image_Mask_raw_image\images\000000485.jpg,Task_Image_Mask_raw_image\random_mask\000000485.png +1457,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000485,Task_Image_Mask_raw_image\images\000000485.jpg,Task_Image_Mask_raw_image\random_mask\000000485.png +1458,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000485,Task_Image_Mask_raw_image\images\000000485.jpg,Task_Image_Mask_raw_image\random_mask\000000485.png +1459,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000486,Task_Image_Mask_raw_image\images\000000486.jpg,Task_Image_Mask_raw_image\random_mask\000000486.png +1460,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000486,Task_Image_Mask_raw_image\images\000000486.jpg,Task_Image_Mask_raw_image\random_mask\000000486.png +1461,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000486,Task_Image_Mask_raw_image\images\000000486.jpg,Task_Image_Mask_raw_image\random_mask\000000486.png +1462,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000487,Task_Image_Mask_raw_image\images\000000487.jpg,Task_Image_Mask_raw_image\random_mask\000000487.png +1463,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000487,Task_Image_Mask_raw_image\images\000000487.jpg,Task_Image_Mask_raw_image\random_mask\000000487.png +1464,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000487,Task_Image_Mask_raw_image\images\000000487.jpg,Task_Image_Mask_raw_image\random_mask\000000487.png +1465,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000488,Task_Image_Mask_raw_image\images\000000488.jpg,Task_Image_Mask_raw_image\random_mask\000000488.png +1466,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000488,Task_Image_Mask_raw_image\images\000000488.jpg,Task_Image_Mask_raw_image\random_mask\000000488.png +1467,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000488,Task_Image_Mask_raw_image\images\000000488.jpg,Task_Image_Mask_raw_image\random_mask\000000488.png +1468,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000489,Task_Image_Mask_raw_image\images\000000489.jpg,Task_Image_Mask_raw_image\random_mask\000000489.png +1469,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000489,Task_Image_Mask_raw_image\images\000000489.jpg,Task_Image_Mask_raw_image\random_mask\000000489.png +1470,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000489,Task_Image_Mask_raw_image\images\000000489.jpg,Task_Image_Mask_raw_image\random_mask\000000489.png +1471,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000490,Task_Image_Mask_raw_image\images\000000490.jpg,Task_Image_Mask_raw_image\random_mask\000000490.png +1472,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000490,Task_Image_Mask_raw_image\images\000000490.jpg,Task_Image_Mask_raw_image\random_mask\000000490.png +1473,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000490,Task_Image_Mask_raw_image\images\000000490.jpg,Task_Image_Mask_raw_image\random_mask\000000490.png +1474,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000491,Task_Image_Mask_raw_image\images\000000491.jpg,Task_Image_Mask_raw_image\random_mask\000000491.png +1475,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000491,Task_Image_Mask_raw_image\images\000000491.jpg,Task_Image_Mask_raw_image\random_mask\000000491.png +1476,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000491,Task_Image_Mask_raw_image\images\000000491.jpg,Task_Image_Mask_raw_image\random_mask\000000491.png +1477,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000492,Task_Image_Mask_raw_image\images\000000492.jpg,Task_Image_Mask_raw_image\random_mask\000000492.png +1478,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000492,Task_Image_Mask_raw_image\images\000000492.jpg,Task_Image_Mask_raw_image\random_mask\000000492.png +1479,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000492,Task_Image_Mask_raw_image\images\000000492.jpg,Task_Image_Mask_raw_image\random_mask\000000492.png +1480,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000493,Task_Image_Mask_raw_image\images\000000493.jpg,Task_Image_Mask_raw_image\random_mask\000000493.png +1481,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000493,Task_Image_Mask_raw_image\images\000000493.jpg,Task_Image_Mask_raw_image\random_mask\000000493.png +1482,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000493,Task_Image_Mask_raw_image\images\000000493.jpg,Task_Image_Mask_raw_image\random_mask\000000493.png +1483,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000494,Task_Image_Mask_raw_image\images\000000494.jpg,Task_Image_Mask_raw_image\random_mask\000000494.png +1484,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000494,Task_Image_Mask_raw_image\images\000000494.jpg,Task_Image_Mask_raw_image\random_mask\000000494.png +1485,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000494,Task_Image_Mask_raw_image\images\000000494.jpg,Task_Image_Mask_raw_image\random_mask\000000494.png +1486,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000495,Task_Image_Mask_raw_image\images\000000495.jpg,Task_Image_Mask_raw_image\random_mask\000000495.png +1487,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000495,Task_Image_Mask_raw_image\images\000000495.jpg,Task_Image_Mask_raw_image\random_mask\000000495.png +1488,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000495,Task_Image_Mask_raw_image\images\000000495.jpg,Task_Image_Mask_raw_image\random_mask\000000495.png +1489,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000496,Task_Image_Mask_raw_image\images\000000496.jpg,Task_Image_Mask_raw_image\random_mask\000000496.png +1490,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000496,Task_Image_Mask_raw_image\images\000000496.jpg,Task_Image_Mask_raw_image\random_mask\000000496.png +1491,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000496,Task_Image_Mask_raw_image\images\000000496.jpg,Task_Image_Mask_raw_image\random_mask\000000496.png +1492,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000497,Task_Image_Mask_raw_image\images\000000497.jpg,Task_Image_Mask_raw_image\random_mask\000000497.png +1493,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000497,Task_Image_Mask_raw_image\images\000000497.jpg,Task_Image_Mask_raw_image\random_mask\000000497.png +1494,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000497,Task_Image_Mask_raw_image\images\000000497.jpg,Task_Image_Mask_raw_image\random_mask\000000497.png +1495,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000498,Task_Image_Mask_raw_image\images\000000498.jpg,Task_Image_Mask_raw_image\random_mask\000000498.png +1496,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000498,Task_Image_Mask_raw_image\images\000000498.jpg,Task_Image_Mask_raw_image\random_mask\000000498.png +1497,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000498,Task_Image_Mask_raw_image\images\000000498.jpg,Task_Image_Mask_raw_image\random_mask\000000498.png +1498,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000499,Task_Image_Mask_raw_image\images\000000499.jpg,Task_Image_Mask_raw_image\random_mask\000000499.png +1499,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000499,Task_Image_Mask_raw_image\images\000000499.jpg,Task_Image_Mask_raw_image\random_mask\000000499.png +1500,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000499,Task_Image_Mask_raw_image\images\000000499.jpg,Task_Image_Mask_raw_image\random_mask\000000499.png +1501,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000500,Task_Image_Mask_raw_image\images\000000500.jpg,Task_Image_Mask_raw_image\random_mask\000000500.png +1502,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000500,Task_Image_Mask_raw_image\images\000000500.jpg,Task_Image_Mask_raw_image\random_mask\000000500.png +1503,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000500,Task_Image_Mask_raw_image\images\000000500.jpg,Task_Image_Mask_raw_image\random_mask\000000500.png +1504,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000501,Task_Image_Mask_raw_image\images\000000501.jpg,Task_Image_Mask_raw_image\random_mask\000000501.png +1505,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000501,Task_Image_Mask_raw_image\images\000000501.jpg,Task_Image_Mask_raw_image\random_mask\000000501.png +1506,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000501,Task_Image_Mask_raw_image\images\000000501.jpg,Task_Image_Mask_raw_image\random_mask\000000501.png +1507,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000502,Task_Image_Mask_raw_image\images\000000502.jpg,Task_Image_Mask_raw_image\random_mask\000000502.png +1508,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000502,Task_Image_Mask_raw_image\images\000000502.jpg,Task_Image_Mask_raw_image\random_mask\000000502.png +1509,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000502,Task_Image_Mask_raw_image\images\000000502.jpg,Task_Image_Mask_raw_image\random_mask\000000502.png +1510,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000503,Task_Image_Mask_raw_image\images\000000503.jpg,Task_Image_Mask_raw_image\random_mask\000000503.png +1511,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000503,Task_Image_Mask_raw_image\images\000000503.jpg,Task_Image_Mask_raw_image\random_mask\000000503.png +1512,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000503,Task_Image_Mask_raw_image\images\000000503.jpg,Task_Image_Mask_raw_image\random_mask\000000503.png +1513,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000504,Task_Image_Mask_raw_image\images\000000504.jpg,Task_Image_Mask_raw_image\random_mask\000000504.png +1514,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000504,Task_Image_Mask_raw_image\images\000000504.jpg,Task_Image_Mask_raw_image\random_mask\000000504.png +1515,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000504,Task_Image_Mask_raw_image\images\000000504.jpg,Task_Image_Mask_raw_image\random_mask\000000504.png +1516,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000505,Task_Image_Mask_raw_image\images\000000505.jpg,Task_Image_Mask_raw_image\random_mask\000000505.png +1517,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000505,Task_Image_Mask_raw_image\images\000000505.jpg,Task_Image_Mask_raw_image\random_mask\000000505.png +1518,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000505,Task_Image_Mask_raw_image\images\000000505.jpg,Task_Image_Mask_raw_image\random_mask\000000505.png +1519,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000506,Task_Image_Mask_raw_image\images\000000506.jpg,Task_Image_Mask_raw_image\random_mask\000000506.png +1520,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000506,Task_Image_Mask_raw_image\images\000000506.jpg,Task_Image_Mask_raw_image\random_mask\000000506.png +1521,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000506,Task_Image_Mask_raw_image\images\000000506.jpg,Task_Image_Mask_raw_image\random_mask\000000506.png +1522,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000507,Task_Image_Mask_raw_image\images\000000507.jpg,Task_Image_Mask_raw_image\random_mask\000000507.png +1523,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000507,Task_Image_Mask_raw_image\images\000000507.jpg,Task_Image_Mask_raw_image\random_mask\000000507.png +1524,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000507,Task_Image_Mask_raw_image\images\000000507.jpg,Task_Image_Mask_raw_image\random_mask\000000507.png +1525,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000508,Task_Image_Mask_raw_image\images\000000508.jpg,Task_Image_Mask_raw_image\random_mask\000000508.png +1526,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000508,Task_Image_Mask_raw_image\images\000000508.jpg,Task_Image_Mask_raw_image\random_mask\000000508.png +1527,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000508,Task_Image_Mask_raw_image\images\000000508.jpg,Task_Image_Mask_raw_image\random_mask\000000508.png +1528,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000509,Task_Image_Mask_raw_image\images\000000509.jpg,Task_Image_Mask_raw_image\random_mask\000000509.png +1529,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000509,Task_Image_Mask_raw_image\images\000000509.jpg,Task_Image_Mask_raw_image\random_mask\000000509.png +1530,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000509,Task_Image_Mask_raw_image\images\000000509.jpg,Task_Image_Mask_raw_image\random_mask\000000509.png +1531,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000510,Task_Image_Mask_raw_image\images\000000510.jpg,Task_Image_Mask_raw_image\random_mask\000000510.png +1532,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000510,Task_Image_Mask_raw_image\images\000000510.jpg,Task_Image_Mask_raw_image\random_mask\000000510.png +1533,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000510,Task_Image_Mask_raw_image\images\000000510.jpg,Task_Image_Mask_raw_image\random_mask\000000510.png +1534,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000511,Task_Image_Mask_raw_image\images\000000511.jpg,Task_Image_Mask_raw_image\random_mask\000000511.png +1535,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000511,Task_Image_Mask_raw_image\images\000000511.jpg,Task_Image_Mask_raw_image\random_mask\000000511.png +1536,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000511,Task_Image_Mask_raw_image\images\000000511.jpg,Task_Image_Mask_raw_image\random_mask\000000511.png +1537,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000512,Task_Image_Mask_raw_image\images\000000512.jpg,Task_Image_Mask_raw_image\random_mask\000000512.png +1538,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000512,Task_Image_Mask_raw_image\images\000000512.jpg,Task_Image_Mask_raw_image\random_mask\000000512.png +1539,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000512,Task_Image_Mask_raw_image\images\000000512.jpg,Task_Image_Mask_raw_image\random_mask\000000512.png +1540,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000513,Task_Image_Mask_raw_image\images\000000513.jpg,Task_Image_Mask_raw_image\random_mask\000000513.png +1541,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000513,Task_Image_Mask_raw_image\images\000000513.jpg,Task_Image_Mask_raw_image\random_mask\000000513.png +1542,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000513,Task_Image_Mask_raw_image\images\000000513.jpg,Task_Image_Mask_raw_image\random_mask\000000513.png +1543,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000514,Task_Image_Mask_raw_image\images\000000514.jpg,Task_Image_Mask_raw_image\random_mask\000000514.png +1544,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000514,Task_Image_Mask_raw_image\images\000000514.jpg,Task_Image_Mask_raw_image\random_mask\000000514.png +1545,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000514,Task_Image_Mask_raw_image\images\000000514.jpg,Task_Image_Mask_raw_image\random_mask\000000514.png +1546,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000515,Task_Image_Mask_raw_image\images\000000515.jpg,Task_Image_Mask_raw_image\random_mask\000000515.png +1547,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000515,Task_Image_Mask_raw_image\images\000000515.jpg,Task_Image_Mask_raw_image\random_mask\000000515.png +1548,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000515,Task_Image_Mask_raw_image\images\000000515.jpg,Task_Image_Mask_raw_image\random_mask\000000515.png +1549,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000516,Task_Image_Mask_raw_image\images\000000516.jpg,Task_Image_Mask_raw_image\random_mask\000000516.png +1550,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000516,Task_Image_Mask_raw_image\images\000000516.jpg,Task_Image_Mask_raw_image\random_mask\000000516.png +1551,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000516,Task_Image_Mask_raw_image\images\000000516.jpg,Task_Image_Mask_raw_image\random_mask\000000516.png +1552,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000517,Task_Image_Mask_raw_image\images\000000517.jpg,Task_Image_Mask_raw_image\random_mask\000000517.png +1553,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000517,Task_Image_Mask_raw_image\images\000000517.jpg,Task_Image_Mask_raw_image\random_mask\000000517.png +1554,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000517,Task_Image_Mask_raw_image\images\000000517.jpg,Task_Image_Mask_raw_image\random_mask\000000517.png +1555,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000518,Task_Image_Mask_raw_image\images\000000518.jpg,Task_Image_Mask_raw_image\random_mask\000000518.png +1556,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000518,Task_Image_Mask_raw_image\images\000000518.jpg,Task_Image_Mask_raw_image\random_mask\000000518.png +1557,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000518,Task_Image_Mask_raw_image\images\000000518.jpg,Task_Image_Mask_raw_image\random_mask\000000518.png +1558,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000519,Task_Image_Mask_raw_image\images\000000519.jpg,Task_Image_Mask_raw_image\random_mask\000000519.png +1559,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000519,Task_Image_Mask_raw_image\images\000000519.jpg,Task_Image_Mask_raw_image\random_mask\000000519.png +1560,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000519,Task_Image_Mask_raw_image\images\000000519.jpg,Task_Image_Mask_raw_image\random_mask\000000519.png +1561,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000520,Task_Image_Mask_raw_image\images\000000520.jpg,Task_Image_Mask_raw_image\random_mask\000000520.png +1562,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000520,Task_Image_Mask_raw_image\images\000000520.jpg,Task_Image_Mask_raw_image\random_mask\000000520.png +1563,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000520,Task_Image_Mask_raw_image\images\000000520.jpg,Task_Image_Mask_raw_image\random_mask\000000520.png +1564,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000521,Task_Image_Mask_raw_image\images\000000521.jpg,Task_Image_Mask_raw_image\random_mask\000000521.png +1565,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000521,Task_Image_Mask_raw_image\images\000000521.jpg,Task_Image_Mask_raw_image\random_mask\000000521.png +1566,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000521,Task_Image_Mask_raw_image\images\000000521.jpg,Task_Image_Mask_raw_image\random_mask\000000521.png +1567,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000522,Task_Image_Mask_raw_image\images\000000522.jpg,Task_Image_Mask_raw_image\random_mask\000000522.png +1568,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000522,Task_Image_Mask_raw_image\images\000000522.jpg,Task_Image_Mask_raw_image\random_mask\000000522.png +1569,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000522,Task_Image_Mask_raw_image\images\000000522.jpg,Task_Image_Mask_raw_image\random_mask\000000522.png +1570,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000523,Task_Image_Mask_raw_image\images\000000523.jpg,Task_Image_Mask_raw_image\random_mask\000000523.png +1571,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000523,Task_Image_Mask_raw_image\images\000000523.jpg,Task_Image_Mask_raw_image\random_mask\000000523.png +1572,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000523,Task_Image_Mask_raw_image\images\000000523.jpg,Task_Image_Mask_raw_image\random_mask\000000523.png +1573,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000524,Task_Image_Mask_raw_image\images\000000524.jpg,Task_Image_Mask_raw_image\random_mask\000000524.png +1574,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000524,Task_Image_Mask_raw_image\images\000000524.jpg,Task_Image_Mask_raw_image\random_mask\000000524.png +1575,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000524,Task_Image_Mask_raw_image\images\000000524.jpg,Task_Image_Mask_raw_image\random_mask\000000524.png +1576,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000525,Task_Image_Mask_raw_image\images\000000525.jpg,Task_Image_Mask_raw_image\random_mask\000000525.png +1577,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000525,Task_Image_Mask_raw_image\images\000000525.jpg,Task_Image_Mask_raw_image\random_mask\000000525.png +1578,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000525,Task_Image_Mask_raw_image\images\000000525.jpg,Task_Image_Mask_raw_image\random_mask\000000525.png +1579,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000526,Task_Image_Mask_raw_image\images\000000526.jpg,Task_Image_Mask_raw_image\random_mask\000000526.png +1580,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000526,Task_Image_Mask_raw_image\images\000000526.jpg,Task_Image_Mask_raw_image\random_mask\000000526.png +1581,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000526,Task_Image_Mask_raw_image\images\000000526.jpg,Task_Image_Mask_raw_image\random_mask\000000526.png +1582,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000527,Task_Image_Mask_raw_image\images\000000527.jpg,Task_Image_Mask_raw_image\random_mask\000000527.png +1583,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000527,Task_Image_Mask_raw_image\images\000000527.jpg,Task_Image_Mask_raw_image\random_mask\000000527.png +1584,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000527,Task_Image_Mask_raw_image\images\000000527.jpg,Task_Image_Mask_raw_image\random_mask\000000527.png +1585,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000528,Task_Image_Mask_raw_image\images\000000528.jpg,Task_Image_Mask_raw_image\random_mask\000000528.png +1586,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000528,Task_Image_Mask_raw_image\images\000000528.jpg,Task_Image_Mask_raw_image\random_mask\000000528.png +1587,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000528,Task_Image_Mask_raw_image\images\000000528.jpg,Task_Image_Mask_raw_image\random_mask\000000528.png +1588,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000529,Task_Image_Mask_raw_image\images\000000529.jpg,Task_Image_Mask_raw_image\random_mask\000000529.png +1589,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000529,Task_Image_Mask_raw_image\images\000000529.jpg,Task_Image_Mask_raw_image\random_mask\000000529.png +1590,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000529,Task_Image_Mask_raw_image\images\000000529.jpg,Task_Image_Mask_raw_image\random_mask\000000529.png +1591,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000530,Task_Image_Mask_raw_image\images\000000530.jpg,Task_Image_Mask_raw_image\random_mask\000000530.png +1592,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000530,Task_Image_Mask_raw_image\images\000000530.jpg,Task_Image_Mask_raw_image\random_mask\000000530.png +1593,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000530,Task_Image_Mask_raw_image\images\000000530.jpg,Task_Image_Mask_raw_image\random_mask\000000530.png +1594,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000531,Task_Image_Mask_raw_image\images\000000531.jpg,Task_Image_Mask_raw_image\random_mask\000000531.png +1595,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000531,Task_Image_Mask_raw_image\images\000000531.jpg,Task_Image_Mask_raw_image\random_mask\000000531.png +1596,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000531,Task_Image_Mask_raw_image\images\000000531.jpg,Task_Image_Mask_raw_image\random_mask\000000531.png +1597,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000532,Task_Image_Mask_raw_image\images\000000532.jpg,Task_Image_Mask_raw_image\random_mask\000000532.png +1598,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000532,Task_Image_Mask_raw_image\images\000000532.jpg,Task_Image_Mask_raw_image\random_mask\000000532.png +1599,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000532,Task_Image_Mask_raw_image\images\000000532.jpg,Task_Image_Mask_raw_image\random_mask\000000532.png +1600,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000533,Task_Image_Mask_raw_image\images\000000533.jpg,Task_Image_Mask_raw_image\random_mask\000000533.png +1601,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000533,Task_Image_Mask_raw_image\images\000000533.jpg,Task_Image_Mask_raw_image\random_mask\000000533.png +1602,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000533,Task_Image_Mask_raw_image\images\000000533.jpg,Task_Image_Mask_raw_image\random_mask\000000533.png +1603,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000534,Task_Image_Mask_raw_image\images\000000534.jpg,Task_Image_Mask_raw_image\random_mask\000000534.png +1604,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000534,Task_Image_Mask_raw_image\images\000000534.jpg,Task_Image_Mask_raw_image\random_mask\000000534.png +1605,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000534,Task_Image_Mask_raw_image\images\000000534.jpg,Task_Image_Mask_raw_image\random_mask\000000534.png +1606,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000535,Task_Image_Mask_raw_image\images\000000535.jpg,Task_Image_Mask_raw_image\random_mask\000000535.png +1607,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000535,Task_Image_Mask_raw_image\images\000000535.jpg,Task_Image_Mask_raw_image\random_mask\000000535.png +1608,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000535,Task_Image_Mask_raw_image\images\000000535.jpg,Task_Image_Mask_raw_image\random_mask\000000535.png +1609,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000536,Task_Image_Mask_raw_image\images\000000536.jpg,Task_Image_Mask_raw_image\random_mask\000000536.png +1610,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000536,Task_Image_Mask_raw_image\images\000000536.jpg,Task_Image_Mask_raw_image\random_mask\000000536.png +1611,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000536,Task_Image_Mask_raw_image\images\000000536.jpg,Task_Image_Mask_raw_image\random_mask\000000536.png +1612,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000537,Task_Image_Mask_raw_image\images\000000537.jpg,Task_Image_Mask_raw_image\random_mask\000000537.png +1613,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000537,Task_Image_Mask_raw_image\images\000000537.jpg,Task_Image_Mask_raw_image\random_mask\000000537.png +1614,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000537,Task_Image_Mask_raw_image\images\000000537.jpg,Task_Image_Mask_raw_image\random_mask\000000537.png +1615,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000538,Task_Image_Mask_raw_image\images\000000538.jpg,Task_Image_Mask_raw_image\random_mask\000000538.png +1616,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000538,Task_Image_Mask_raw_image\images\000000538.jpg,Task_Image_Mask_raw_image\random_mask\000000538.png +1617,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000538,Task_Image_Mask_raw_image\images\000000538.jpg,Task_Image_Mask_raw_image\random_mask\000000538.png +1618,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000539,Task_Image_Mask_raw_image\images\000000539.jpg,Task_Image_Mask_raw_image\random_mask\000000539.png +1619,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000539,Task_Image_Mask_raw_image\images\000000539.jpg,Task_Image_Mask_raw_image\random_mask\000000539.png +1620,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000539,Task_Image_Mask_raw_image\images\000000539.jpg,Task_Image_Mask_raw_image\random_mask\000000539.png +1621,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000540,Task_Image_Mask_raw_image\images\000000540.jpg,Task_Image_Mask_raw_image\random_mask\000000540.png +1622,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000540,Task_Image_Mask_raw_image\images\000000540.jpg,Task_Image_Mask_raw_image\random_mask\000000540.png +1623,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000540,Task_Image_Mask_raw_image\images\000000540.jpg,Task_Image_Mask_raw_image\random_mask\000000540.png +1624,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000541,Task_Image_Mask_raw_image\images\000000541.jpg,Task_Image_Mask_raw_image\random_mask\000000541.png +1625,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000541,Task_Image_Mask_raw_image\images\000000541.jpg,Task_Image_Mask_raw_image\random_mask\000000541.png +1626,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000541,Task_Image_Mask_raw_image\images\000000541.jpg,Task_Image_Mask_raw_image\random_mask\000000541.png +1627,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000542,Task_Image_Mask_raw_image\images\000000542.jpg,Task_Image_Mask_raw_image\random_mask\000000542.png +1628,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000542,Task_Image_Mask_raw_image\images\000000542.jpg,Task_Image_Mask_raw_image\random_mask\000000542.png +1629,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000542,Task_Image_Mask_raw_image\images\000000542.jpg,Task_Image_Mask_raw_image\random_mask\000000542.png +1630,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000543,Task_Image_Mask_raw_image\images\000000543.jpg,Task_Image_Mask_raw_image\random_mask\000000543.png +1631,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000543,Task_Image_Mask_raw_image\images\000000543.jpg,Task_Image_Mask_raw_image\random_mask\000000543.png +1632,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000543,Task_Image_Mask_raw_image\images\000000543.jpg,Task_Image_Mask_raw_image\random_mask\000000543.png +1633,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000544,Task_Image_Mask_raw_image\images\000000544.jpg,Task_Image_Mask_raw_image\random_mask\000000544.png +1634,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000544,Task_Image_Mask_raw_image\images\000000544.jpg,Task_Image_Mask_raw_image\random_mask\000000544.png +1635,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000544,Task_Image_Mask_raw_image\images\000000544.jpg,Task_Image_Mask_raw_image\random_mask\000000544.png +1636,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000545,Task_Image_Mask_raw_image\images\000000545.jpg,Task_Image_Mask_raw_image\random_mask\000000545.png +1637,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000545,Task_Image_Mask_raw_image\images\000000545.jpg,Task_Image_Mask_raw_image\random_mask\000000545.png +1638,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000545,Task_Image_Mask_raw_image\images\000000545.jpg,Task_Image_Mask_raw_image\random_mask\000000545.png +1639,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000546,Task_Image_Mask_raw_image\images\000000546.jpg,Task_Image_Mask_raw_image\random_mask\000000546.png +1640,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000546,Task_Image_Mask_raw_image\images\000000546.jpg,Task_Image_Mask_raw_image\random_mask\000000546.png +1641,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000546,Task_Image_Mask_raw_image\images\000000546.jpg,Task_Image_Mask_raw_image\random_mask\000000546.png +1642,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000547,Task_Image_Mask_raw_image\images\000000547.jpg,Task_Image_Mask_raw_image\random_mask\000000547.png +1643,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000547,Task_Image_Mask_raw_image\images\000000547.jpg,Task_Image_Mask_raw_image\random_mask\000000547.png +1644,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000547,Task_Image_Mask_raw_image\images\000000547.jpg,Task_Image_Mask_raw_image\random_mask\000000547.png +1645,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000548,Task_Image_Mask_raw_image\images\000000548.jpg,Task_Image_Mask_raw_image\random_mask\000000548.png +1646,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000548,Task_Image_Mask_raw_image\images\000000548.jpg,Task_Image_Mask_raw_image\random_mask\000000548.png +1647,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000548,Task_Image_Mask_raw_image\images\000000548.jpg,Task_Image_Mask_raw_image\random_mask\000000548.png +1648,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000549,Task_Image_Mask_raw_image\images\000000549.jpg,Task_Image_Mask_raw_image\random_mask\000000549.png +1649,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000549,Task_Image_Mask_raw_image\images\000000549.jpg,Task_Image_Mask_raw_image\random_mask\000000549.png +1650,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000549,Task_Image_Mask_raw_image\images\000000549.jpg,Task_Image_Mask_raw_image\random_mask\000000549.png +1651,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000550,Task_Image_Mask_raw_image\images\000000550.jpg,Task_Image_Mask_raw_image\random_mask\000000550.png +1652,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000550,Task_Image_Mask_raw_image\images\000000550.jpg,Task_Image_Mask_raw_image\random_mask\000000550.png +1653,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000550,Task_Image_Mask_raw_image\images\000000550.jpg,Task_Image_Mask_raw_image\random_mask\000000550.png +1654,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000551,Task_Image_Mask_raw_image\images\000000551.jpg,Task_Image_Mask_raw_image\random_mask\000000551.png +1655,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000551,Task_Image_Mask_raw_image\images\000000551.jpg,Task_Image_Mask_raw_image\random_mask\000000551.png +1656,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000551,Task_Image_Mask_raw_image\images\000000551.jpg,Task_Image_Mask_raw_image\random_mask\000000551.png +1657,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000552,Task_Image_Mask_raw_image\images\000000552.jpg,Task_Image_Mask_raw_image\random_mask\000000552.png +1658,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000552,Task_Image_Mask_raw_image\images\000000552.jpg,Task_Image_Mask_raw_image\random_mask\000000552.png +1659,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000552,Task_Image_Mask_raw_image\images\000000552.jpg,Task_Image_Mask_raw_image\random_mask\000000552.png +1660,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000553,Task_Image_Mask_raw_image\images\000000553.jpg,Task_Image_Mask_raw_image\random_mask\000000553.png +1661,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000553,Task_Image_Mask_raw_image\images\000000553.jpg,Task_Image_Mask_raw_image\random_mask\000000553.png +1662,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000553,Task_Image_Mask_raw_image\images\000000553.jpg,Task_Image_Mask_raw_image\random_mask\000000553.png +1663,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000554,Task_Image_Mask_raw_image\images\000000554.jpg,Task_Image_Mask_raw_image\random_mask\000000554.png +1664,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000554,Task_Image_Mask_raw_image\images\000000554.jpg,Task_Image_Mask_raw_image\random_mask\000000554.png +1665,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000554,Task_Image_Mask_raw_image\images\000000554.jpg,Task_Image_Mask_raw_image\random_mask\000000554.png +1666,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000555,Task_Image_Mask_raw_image\images\000000555.jpg,Task_Image_Mask_raw_image\random_mask\000000555.png +1667,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000555,Task_Image_Mask_raw_image\images\000000555.jpg,Task_Image_Mask_raw_image\random_mask\000000555.png +1668,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000555,Task_Image_Mask_raw_image\images\000000555.jpg,Task_Image_Mask_raw_image\random_mask\000000555.png +1669,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000556,Task_Image_Mask_raw_image\images\000000556.jpg,Task_Image_Mask_raw_image\random_mask\000000556.png +1670,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000556,Task_Image_Mask_raw_image\images\000000556.jpg,Task_Image_Mask_raw_image\random_mask\000000556.png +1671,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000556,Task_Image_Mask_raw_image\images\000000556.jpg,Task_Image_Mask_raw_image\random_mask\000000556.png +1672,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000557,Task_Image_Mask_raw_image\images\000000557.jpg,Task_Image_Mask_raw_image\random_mask\000000557.png +1673,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000557,Task_Image_Mask_raw_image\images\000000557.jpg,Task_Image_Mask_raw_image\random_mask\000000557.png +1674,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000557,Task_Image_Mask_raw_image\images\000000557.jpg,Task_Image_Mask_raw_image\random_mask\000000557.png +1675,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000558,Task_Image_Mask_raw_image\images\000000558.jpg,Task_Image_Mask_raw_image\random_mask\000000558.png +1676,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000558,Task_Image_Mask_raw_image\images\000000558.jpg,Task_Image_Mask_raw_image\random_mask\000000558.png +1677,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000558,Task_Image_Mask_raw_image\images\000000558.jpg,Task_Image_Mask_raw_image\random_mask\000000558.png +1678,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000559,Task_Image_Mask_raw_image\images\000000559.jpg,Task_Image_Mask_raw_image\random_mask\000000559.png +1679,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000559,Task_Image_Mask_raw_image\images\000000559.jpg,Task_Image_Mask_raw_image\random_mask\000000559.png +1680,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000559,Task_Image_Mask_raw_image\images\000000559.jpg,Task_Image_Mask_raw_image\random_mask\000000559.png +1681,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000560,Task_Image_Mask_raw_image\images\000000560.jpg,Task_Image_Mask_raw_image\random_mask\000000560.png +1682,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000560,Task_Image_Mask_raw_image\images\000000560.jpg,Task_Image_Mask_raw_image\random_mask\000000560.png +1683,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000560,Task_Image_Mask_raw_image\images\000000560.jpg,Task_Image_Mask_raw_image\random_mask\000000560.png +1684,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000561,Task_Image_Mask_raw_image\images\000000561.jpg,Task_Image_Mask_raw_image\random_mask\000000561.png +1685,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000561,Task_Image_Mask_raw_image\images\000000561.jpg,Task_Image_Mask_raw_image\random_mask\000000561.png +1686,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000561,Task_Image_Mask_raw_image\images\000000561.jpg,Task_Image_Mask_raw_image\random_mask\000000561.png +1687,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000562,Task_Image_Mask_raw_image\images\000000562.jpg,Task_Image_Mask_raw_image\random_mask\000000562.png +1688,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000562,Task_Image_Mask_raw_image\images\000000562.jpg,Task_Image_Mask_raw_image\random_mask\000000562.png +1689,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000562,Task_Image_Mask_raw_image\images\000000562.jpg,Task_Image_Mask_raw_image\random_mask\000000562.png +1690,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000563,Task_Image_Mask_raw_image\images\000000563.jpg,Task_Image_Mask_raw_image\random_mask\000000563.png +1691,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000563,Task_Image_Mask_raw_image\images\000000563.jpg,Task_Image_Mask_raw_image\random_mask\000000563.png +1692,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000563,Task_Image_Mask_raw_image\images\000000563.jpg,Task_Image_Mask_raw_image\random_mask\000000563.png +1693,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000564,Task_Image_Mask_raw_image\images\000000564.jpg,Task_Image_Mask_raw_image\random_mask\000000564.png +1694,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000564,Task_Image_Mask_raw_image\images\000000564.jpg,Task_Image_Mask_raw_image\random_mask\000000564.png +1695,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000564,Task_Image_Mask_raw_image\images\000000564.jpg,Task_Image_Mask_raw_image\random_mask\000000564.png +1696,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000565,Task_Image_Mask_raw_image\images\000000565.jpg,Task_Image_Mask_raw_image\random_mask\000000565.png +1697,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000565,Task_Image_Mask_raw_image\images\000000565.jpg,Task_Image_Mask_raw_image\random_mask\000000565.png +1698,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000565,Task_Image_Mask_raw_image\images\000000565.jpg,Task_Image_Mask_raw_image\random_mask\000000565.png +1699,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000566,Task_Image_Mask_raw_image\images\000000566.jpg,Task_Image_Mask_raw_image\random_mask\000000566.png +1700,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000566,Task_Image_Mask_raw_image\images\000000566.jpg,Task_Image_Mask_raw_image\random_mask\000000566.png +1701,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000566,Task_Image_Mask_raw_image\images\000000566.jpg,Task_Image_Mask_raw_image\random_mask\000000566.png +1702,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000567,Task_Image_Mask_raw_image\images\000000567.jpg,Task_Image_Mask_raw_image\random_mask\000000567.png +1703,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000567,Task_Image_Mask_raw_image\images\000000567.jpg,Task_Image_Mask_raw_image\random_mask\000000567.png +1704,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000567,Task_Image_Mask_raw_image\images\000000567.jpg,Task_Image_Mask_raw_image\random_mask\000000567.png +1705,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000568,Task_Image_Mask_raw_image\images\000000568.jpg,Task_Image_Mask_raw_image\random_mask\000000568.png +1706,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000568,Task_Image_Mask_raw_image\images\000000568.jpg,Task_Image_Mask_raw_image\random_mask\000000568.png +1707,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000568,Task_Image_Mask_raw_image\images\000000568.jpg,Task_Image_Mask_raw_image\random_mask\000000568.png +1708,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000569,Task_Image_Mask_raw_image\images\000000569.jpg,Task_Image_Mask_raw_image\random_mask\000000569.png +1709,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000569,Task_Image_Mask_raw_image\images\000000569.jpg,Task_Image_Mask_raw_image\random_mask\000000569.png +1710,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000569,Task_Image_Mask_raw_image\images\000000569.jpg,Task_Image_Mask_raw_image\random_mask\000000569.png +1711,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000570,Task_Image_Mask_raw_image\images\000000570.jpg,Task_Image_Mask_raw_image\random_mask\000000570.png +1712,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000570,Task_Image_Mask_raw_image\images\000000570.jpg,Task_Image_Mask_raw_image\random_mask\000000570.png +1713,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000570,Task_Image_Mask_raw_image\images\000000570.jpg,Task_Image_Mask_raw_image\random_mask\000000570.png +1714,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000571,Task_Image_Mask_raw_image\images\000000571.jpg,Task_Image_Mask_raw_image\random_mask\000000571.png +1715,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000571,Task_Image_Mask_raw_image\images\000000571.jpg,Task_Image_Mask_raw_image\random_mask\000000571.png +1716,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000571,Task_Image_Mask_raw_image\images\000000571.jpg,Task_Image_Mask_raw_image\random_mask\000000571.png +1717,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000572,Task_Image_Mask_raw_image\images\000000572.jpg,Task_Image_Mask_raw_image\random_mask\000000572.png +1718,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000572,Task_Image_Mask_raw_image\images\000000572.jpg,Task_Image_Mask_raw_image\random_mask\000000572.png +1719,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000572,Task_Image_Mask_raw_image\images\000000572.jpg,Task_Image_Mask_raw_image\random_mask\000000572.png +1720,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000573,Task_Image_Mask_raw_image\images\000000573.jpg,Task_Image_Mask_raw_image\random_mask\000000573.png +1721,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000573,Task_Image_Mask_raw_image\images\000000573.jpg,Task_Image_Mask_raw_image\random_mask\000000573.png +1722,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000573,Task_Image_Mask_raw_image\images\000000573.jpg,Task_Image_Mask_raw_image\random_mask\000000573.png +1723,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000574,Task_Image_Mask_raw_image\images\000000574.jpg,Task_Image_Mask_raw_image\random_mask\000000574.png +1724,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000574,Task_Image_Mask_raw_image\images\000000574.jpg,Task_Image_Mask_raw_image\random_mask\000000574.png +1725,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000574,Task_Image_Mask_raw_image\images\000000574.jpg,Task_Image_Mask_raw_image\random_mask\000000574.png +1726,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000575,Task_Image_Mask_raw_image\images\000000575.jpg,Task_Image_Mask_raw_image\random_mask\000000575.png +1727,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000575,Task_Image_Mask_raw_image\images\000000575.jpg,Task_Image_Mask_raw_image\random_mask\000000575.png +1728,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000575,Task_Image_Mask_raw_image\images\000000575.jpg,Task_Image_Mask_raw_image\random_mask\000000575.png +1729,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000576,Task_Image_Mask_raw_image\images\000000576.jpg,Task_Image_Mask_raw_image\random_mask\000000576.png +1730,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000576,Task_Image_Mask_raw_image\images\000000576.jpg,Task_Image_Mask_raw_image\random_mask\000000576.png +1731,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000576,Task_Image_Mask_raw_image\images\000000576.jpg,Task_Image_Mask_raw_image\random_mask\000000576.png +1732,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000577,Task_Image_Mask_raw_image\images\000000577.jpg,Task_Image_Mask_raw_image\random_mask\000000577.png +1733,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000577,Task_Image_Mask_raw_image\images\000000577.jpg,Task_Image_Mask_raw_image\random_mask\000000577.png +1734,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000577,Task_Image_Mask_raw_image\images\000000577.jpg,Task_Image_Mask_raw_image\random_mask\000000577.png +1735,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000578,Task_Image_Mask_raw_image\images\000000578.jpg,Task_Image_Mask_raw_image\random_mask\000000578.png +1736,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000578,Task_Image_Mask_raw_image\images\000000578.jpg,Task_Image_Mask_raw_image\random_mask\000000578.png +1737,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000578,Task_Image_Mask_raw_image\images\000000578.jpg,Task_Image_Mask_raw_image\random_mask\000000578.png +1738,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000579,Task_Image_Mask_raw_image\images\000000579.jpg,Task_Image_Mask_raw_image\random_mask\000000579.png +1739,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000579,Task_Image_Mask_raw_image\images\000000579.jpg,Task_Image_Mask_raw_image\random_mask\000000579.png +1740,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000579,Task_Image_Mask_raw_image\images\000000579.jpg,Task_Image_Mask_raw_image\random_mask\000000579.png +1741,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000580,Task_Image_Mask_raw_image\images\000000580.jpg,Task_Image_Mask_raw_image\random_mask\000000580.png +1742,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000580,Task_Image_Mask_raw_image\images\000000580.jpg,Task_Image_Mask_raw_image\random_mask\000000580.png +1743,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000580,Task_Image_Mask_raw_image\images\000000580.jpg,Task_Image_Mask_raw_image\random_mask\000000580.png +1744,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000581,Task_Image_Mask_raw_image\images\000000581.jpg,Task_Image_Mask_raw_image\random_mask\000000581.png +1745,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000581,Task_Image_Mask_raw_image\images\000000581.jpg,Task_Image_Mask_raw_image\random_mask\000000581.png +1746,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000581,Task_Image_Mask_raw_image\images\000000581.jpg,Task_Image_Mask_raw_image\random_mask\000000581.png +1747,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000582,Task_Image_Mask_raw_image\images\000000582.jpg,Task_Image_Mask_raw_image\random_mask\000000582.png +1748,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000582,Task_Image_Mask_raw_image\images\000000582.jpg,Task_Image_Mask_raw_image\random_mask\000000582.png +1749,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000582,Task_Image_Mask_raw_image\images\000000582.jpg,Task_Image_Mask_raw_image\random_mask\000000582.png +1750,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000583,Task_Image_Mask_raw_image\images\000000583.jpg,Task_Image_Mask_raw_image\random_mask\000000583.png +1751,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000583,Task_Image_Mask_raw_image\images\000000583.jpg,Task_Image_Mask_raw_image\random_mask\000000583.png +1752,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000583,Task_Image_Mask_raw_image\images\000000583.jpg,Task_Image_Mask_raw_image\random_mask\000000583.png +1753,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000584,Task_Image_Mask_raw_image\images\000000584.jpg,Task_Image_Mask_raw_image\random_mask\000000584.png +1754,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000584,Task_Image_Mask_raw_image\images\000000584.jpg,Task_Image_Mask_raw_image\random_mask\000000584.png +1755,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000584,Task_Image_Mask_raw_image\images\000000584.jpg,Task_Image_Mask_raw_image\random_mask\000000584.png +1756,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000585,Task_Image_Mask_raw_image\images\000000585.jpg,Task_Image_Mask_raw_image\random_mask\000000585.png +1757,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000585,Task_Image_Mask_raw_image\images\000000585.jpg,Task_Image_Mask_raw_image\random_mask\000000585.png +1758,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000585,Task_Image_Mask_raw_image\images\000000585.jpg,Task_Image_Mask_raw_image\random_mask\000000585.png +1759,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000586,Task_Image_Mask_raw_image\images\000000586.jpg,Task_Image_Mask_raw_image\random_mask\000000586.png +1760,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000586,Task_Image_Mask_raw_image\images\000000586.jpg,Task_Image_Mask_raw_image\random_mask\000000586.png +1761,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000586,Task_Image_Mask_raw_image\images\000000586.jpg,Task_Image_Mask_raw_image\random_mask\000000586.png +1762,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000587,Task_Image_Mask_raw_image\images\000000587.jpg,Task_Image_Mask_raw_image\random_mask\000000587.png +1763,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000587,Task_Image_Mask_raw_image\images\000000587.jpg,Task_Image_Mask_raw_image\random_mask\000000587.png +1764,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000587,Task_Image_Mask_raw_image\images\000000587.jpg,Task_Image_Mask_raw_image\random_mask\000000587.png +1765,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000588,Task_Image_Mask_raw_image\images\000000588.jpg,Task_Image_Mask_raw_image\random_mask\000000588.png +1766,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000588,Task_Image_Mask_raw_image\images\000000588.jpg,Task_Image_Mask_raw_image\random_mask\000000588.png +1767,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000588,Task_Image_Mask_raw_image\images\000000588.jpg,Task_Image_Mask_raw_image\random_mask\000000588.png +1768,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000589,Task_Image_Mask_raw_image\images\000000589.jpg,Task_Image_Mask_raw_image\random_mask\000000589.png +1769,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000589,Task_Image_Mask_raw_image\images\000000589.jpg,Task_Image_Mask_raw_image\random_mask\000000589.png +1770,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000589,Task_Image_Mask_raw_image\images\000000589.jpg,Task_Image_Mask_raw_image\random_mask\000000589.png +1771,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000590,Task_Image_Mask_raw_image\images\000000590.jpg,Task_Image_Mask_raw_image\random_mask\000000590.png +1772,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000590,Task_Image_Mask_raw_image\images\000000590.jpg,Task_Image_Mask_raw_image\random_mask\000000590.png +1773,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000590,Task_Image_Mask_raw_image\images\000000590.jpg,Task_Image_Mask_raw_image\random_mask\000000590.png +1774,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000591,Task_Image_Mask_raw_image\images\000000591.jpg,Task_Image_Mask_raw_image\random_mask\000000591.png +1775,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000591,Task_Image_Mask_raw_image\images\000000591.jpg,Task_Image_Mask_raw_image\random_mask\000000591.png +1776,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000591,Task_Image_Mask_raw_image\images\000000591.jpg,Task_Image_Mask_raw_image\random_mask\000000591.png +1777,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000592,Task_Image_Mask_raw_image\images\000000592.jpg,Task_Image_Mask_raw_image\random_mask\000000592.png +1778,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000592,Task_Image_Mask_raw_image\images\000000592.jpg,Task_Image_Mask_raw_image\random_mask\000000592.png +1779,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000592,Task_Image_Mask_raw_image\images\000000592.jpg,Task_Image_Mask_raw_image\random_mask\000000592.png +1780,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000593,Task_Image_Mask_raw_image\images\000000593.jpg,Task_Image_Mask_raw_image\random_mask\000000593.png +1781,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000593,Task_Image_Mask_raw_image\images\000000593.jpg,Task_Image_Mask_raw_image\random_mask\000000593.png +1782,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000593,Task_Image_Mask_raw_image\images\000000593.jpg,Task_Image_Mask_raw_image\random_mask\000000593.png +1783,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000594,Task_Image_Mask_raw_image\images\000000594.jpg,Task_Image_Mask_raw_image\random_mask\000000594.png +1784,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000594,Task_Image_Mask_raw_image\images\000000594.jpg,Task_Image_Mask_raw_image\random_mask\000000594.png +1785,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000594,Task_Image_Mask_raw_image\images\000000594.jpg,Task_Image_Mask_raw_image\random_mask\000000594.png +1786,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000595,Task_Image_Mask_raw_image\images\000000595.jpg,Task_Image_Mask_raw_image\random_mask\000000595.png +1787,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000595,Task_Image_Mask_raw_image\images\000000595.jpg,Task_Image_Mask_raw_image\random_mask\000000595.png +1788,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000595,Task_Image_Mask_raw_image\images\000000595.jpg,Task_Image_Mask_raw_image\random_mask\000000595.png +1789,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000596,Task_Image_Mask_raw_image\images\000000596.jpg,Task_Image_Mask_raw_image\random_mask\000000596.png +1790,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000596,Task_Image_Mask_raw_image\images\000000596.jpg,Task_Image_Mask_raw_image\random_mask\000000596.png +1791,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000596,Task_Image_Mask_raw_image\images\000000596.jpg,Task_Image_Mask_raw_image\random_mask\000000596.png +1792,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000597,Task_Image_Mask_raw_image\images\000000597.jpg,Task_Image_Mask_raw_image\random_mask\000000597.png +1793,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000597,Task_Image_Mask_raw_image\images\000000597.jpg,Task_Image_Mask_raw_image\random_mask\000000597.png +1794,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000597,Task_Image_Mask_raw_image\images\000000597.jpg,Task_Image_Mask_raw_image\random_mask\000000597.png +1795,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000598,Task_Image_Mask_raw_image\images\000000598.jpg,Task_Image_Mask_raw_image\random_mask\000000598.png +1796,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000598,Task_Image_Mask_raw_image\images\000000598.jpg,Task_Image_Mask_raw_image\random_mask\000000598.png +1797,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000598,Task_Image_Mask_raw_image\images\000000598.jpg,Task_Image_Mask_raw_image\random_mask\000000598.png +1798,"Image 1: \nImage 2: \nApply the binary mask in Image 2 to the image in Image 1. For every pixel, if the mask value is white (value 255), keep the original color from Image 1; if the mask value is black (value 0), change it to pure black.",random,4,000000599,Task_Image_Mask_raw_image\images\000000599.jpg,Task_Image_Mask_raw_image\random_mask\000000599.png +1799,Image 1: \nImage 2: \nPerform a pixel-wise multiplication between Image 1 and Image 2. Use Image 2 as a filter where white pixels (value 255) represents areas to be preserved and black pixels (value 0) represents areas to be changed to black. Output the resulting image.,random,4,000000599,Task_Image_Mask_raw_image\images\000000599.jpg,Task_Image_Mask_raw_image\random_mask\000000599.png +1800,"Image 1: \nImage 2: \nCreate an output image by mapping pixels from Image 1 onto binary mask Image 2. If a mask pixel in Image 2 is white (value 255), use the color from Image 1; if a mask pixel is black (value 0), use pure black.",random,4,000000599,Task_Image_Mask_raw_image\images\000000599.jpg,Task_Image_Mask_raw_image\random_mask\000000599.png