readme

README.md

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+## PartImageNet++ Dataset
+
+PartImageNet++ is an extensive dataset designed for robust object recognition and segmentation tasks. This dataset expands upon the original ImageNet dataset by providing detailed part annotations for each object category.
+
+
+### Dataset Statistics
+| Obj. Cat. | Part Cat. | Img    | Part Mask |
+| --------- | --------- | ------ | --------- |
+| 1000      | 3308      | 100000 | 452749    |
+
+The dataset includes:
+- **1000 object categories** derived from the original ImageNet.
+- **3308 part categories** representing different parts of objects.
+- **100,000 annotated images**, with each object category containing 100 images.
+- **452,749 part mask annotations** ensuring comprehensive coverage and detailed segmentation.
+
+### Structure and Contents
+
+Each JSON file in the `json` directory represents one object category and its corresponding part annotations. 
+
+The `including` folder provides detailed inclusion relations of parts, illustrating hierarchical relationships between different part categories.
+
+The `discarded_data.json` file lists low-quality images that were excluded from the dataset to maintain high annotation standards.
+
+### Visualizations
+
+We provide a visualization demo tool to explore and inspect the annotations. This tool helps users to better understand the structure and details of the dataset.