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