| --- |
| language: |
| - en |
| tags: |
| - pathology |
| - visualgrounding |
| size_categories: |
| - 10K<n<100K |
| --- |
| # PathVG: Pathology Visual Grounding Benchmark |
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| ## 📖 Overview |
| **PathVG (Pathology Visual Grounding)** is the first large-scale benchmark designed for **linking natural language expressions to precise regions in pathology images**. It enables research at the intersection of computational pathology, computer vision, and natural language processing. |
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| The dataset bridges the gap between **image-level question answering** and **region-level localization**, providing a standardized benchmark for visual grounding in pathology. |
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| The full paper is available on arXiv: [https://arxiv.org/abs/2502.20869](https://arxiv.org/abs/2502.20869) |
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| --- |
|
|
| ## 📂 Dataset Statistics |
| - **Images**: 27,610 pathology images |
| - **Annotations**: 33,500 expert-verified expressions with bounding boxes |
| - **Magnifications**: |
| - **20×**: Focus on cell arrangement and interactions |
| - **40×**: Emphasize cellular structure and tumor infiltration |
| - **Annotation Quality**: All expressions are created and validated by pathology experts via multi-stage review |
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| --- |
|
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| ## 📊 Data Format |
| Each sample contains: |
| - `image_id`: Image filename (unique identifier) |
| - `height`: Image height in pixels |
| - `width`: Image width in pixels |
| - `bbox`: Bounding box coordinates in format `[x_min, y_min, x_max, y_max]` |
| - `bbox_id`: Unique bounding box identifier within the image |
| - `expression`: List of natural language descriptions associated with the bounding box |
|
|
| Example: |
| ```json |
| { |
| "bbox": [1680, 603, 1818, 756], |
| "image_id": "8006.jpg", |
| "height": 2048, |
| "width": 2048, |
| "bbox_id": 1, |
| "expression": [ |
| "Upper-right image shows distinct tumor cell cluster spreading." |
| ] |
| } |
