Update README.md

README.md

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 **Pix2Cap COCO** is the first pixel-level captioning dataset derived from the panoptic COCO 2017 dataset, designed to provide more precise visual descriptions than traditional region-level captioning datasets. It consists of 20,550 images, partitioned into a training set (18,212 images) and a validation set (2,338 images), mirroring the original COCO split. The dataset includes 167,254 detailed pixel-level captions, each averaging 22.94 words in length. Unlike datasets like Visual Genome, which have significant redundancy, Pix2Cap COCO ensures one unique caption per mask, eliminating repetition and improving the clarity of object representation.
 
-The dataset was designed to offer a more accurate match between the captions and visual content, enhancing tasks such as visual understanding, spatial reasoning, and object interaction analysis. Pix2Cap COCO stands out with its larger number of images and detailed captions, offering significant improvements over existing region-level captioning datasets.
+Pix2Cap COCO is designed to offer a more accurate match between the captions and visual content, enhancing tasks such as visual understanding, spatial reasoning, and object interaction analysis. Pix2Cap COCO stands out with its larger number of images and detailed captions, offering significant improvements over existing region-level captioning datasets.
 
 ## Dataset Version
 
@@ -46,13 +46,17 @@ Pix2Cap COCO is designed for tasks that require detailed visual understanding an
 | **file_name** | **image** | **descriptions** |
 |-----------|-------------------|-------------------|
 |000000231527.png| ![Example Image](assets/231527.png) |1:Another glass cup filled with orange jam or marmalade but slightly smaller in size. <br>2:A glass cup filled with orange jam or marmalade, it has an open top and is placed to the left side on the table. <br>3:A wooden-handled knife rests on the table close to a sliced piece of orange. <br>4:Positioned next to this whole uncut orange has a bright color indicating ripeness. <br>5:This is a half-sliced orange with juicy pulp visible, placed on the white cloth of the dining table. <br>6:A juicy slice of an orange that lies flat on the table near the knife. <br>7:A whole uncut orange sitting next to another one, both are positioned at the top right corner of the image. <br>8:The dining table is covered with a white cloth, and various items are placed on it, including cups of orange jam, slices of oranges, and a knife. |
-|000000150726.png| ![Example Image](assets/150726.png) |1:The mountainous terrain is rugged and rocky, with a grayish- brown color that indicates a dry, arid environment. It's located at the bottom of the image, providing a base for other elements in the scene. <br>2:The tree has lush green foliage and is situated in the background behind the giraffes. Its branches spread out, creating a canopy that contrasts with the sky. <br>3.A large rock formation with a rough texture and irregular shape sits prominently at the bottom right of the image; its gray color matches that of the mountainous terrain. <br>4.This giraffe stands tall with its neck extended upwards; it has a patterned coat consisting of black spots on a lighter background and is positioned to the right side of another giraffe. <br>5.Slightly smaller in stature, this second giraffe is captured mid-stride moving towards the left; its coat has similar patterns but appears lighter due to sunlight.|
 |000000357081.png| ![Example Image](assets/357081.png) |1:The grass is lush and green , covering the ground uniformly. It appears well-maintained and provides a natural base for the other objects in the image. <br>2:The trees are in the background, their outlines slightly blurred but still visible. They stand tall and provide a contrasting dark green backdrop to the bright foreground. <br>3:This cow is larger, with a white body adorned with large black spots. It's standing upright and appears healthy and well-fed. <br>4:This smaller cow has similar coloring to it but is distinguished by its size and posture - it's head is down, suggesting it might be grazing.|
 |000000407298.png| ![Example Image](assets/407298.png) |1:A child is visible from the chest up, wearing a light blue shirt. The child has curly hair and a cheerful expression, with eyes looking towards something interesting. <br>2:The glove is tan and well-worn, with dark brown lacing. It's open and appears to be in the act of catching a ball. <br>3:The background consists of vibrant green grass illuminated by natural light, providing a fresh and open atmosphere. <br>4:A white baseball with brown stitching is partially inside the baseball glove, appearing as if it has just been caught.|
 
+
+<!-- |000000150726.png| ![Example Image](assets/150726.png) |1:The mountainous terrain is rugged and rocky, with a grayish- brown color that indicates a dry, arid environment. It's located at the bottom of the image, providing a base for other elements in the scene. <br>2:The tree has lush green foliage and is situated in the background behind the giraffes. Its branches spread out, creating a canopy that contrasts with the sky. <br>3.A large rock formation with a rough texture and irregular shape sits prominently at the bottom right of the image; its gray color matches that of the mountainous terrain. <br>4.This giraffe stands tall with its neck extended upwards; it has a patterned coat consisting of black spots on a lighter background and is positioned to the right side of another giraffe. <br>5.Slightly smaller in stature, this second giraffe is captured mid-stride moving towards the left; its coat has similar patterns but appears lighter due to sunlight.| -->
+
+
 ## Dataset Analysis
 
 ![Example Image](assets/colum&pie&violin.png)
+![Example Image](assets/comparison.jpg)
 
 ### Data Scale
 - **Total Images**: 20,550
@@ -75,4 +79,8 @@ This dataset is released under the [Apache 2.0 License](https://www.apache.org/l
 
 ## Citation
 
-If you use this dataset in your work, please cite the original paper:
+If you use this dataset in your work, please cite the original paper:
+
+## Acknowledgments
+
+Pix2Cap COCO is built upon [Panoptic COCO 2017 dataset](https://cocodataset.org/#panoptic-2017), with the pipeline powered by [Set-of-Mark](https://github.com/microsoft/SoM) and [GPT-4v](https://chatgpt.com/).