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--- |
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license: unknown |
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language: |
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- en |
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pretty_name: Car Part Damage (Parts) |
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size_categories: |
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- 1K<n<10K |
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task_categories: |
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- image-segmentation |
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- object-detection |
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tags: |
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- car |
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- car-parts |
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- supervised |
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--- |
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# Car Part Damage (Parts) |
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## Data format |
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Each example contains: |
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- `image`: RGB image (Hugging Face `Image` feature; embedded so the viewer works) |
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- `image_id`: original filename |
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- `width`: image width in pixels |
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- `height`: image height in pixels |
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- `annotations`: list of detection objects (COCO-like), each with: |
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- `id`: integer object id from the annotation file |
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- `category`: car part label (string) |
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- `bbox`: **[x_min, y_min, x_max, y_max]** in absolute pixel coordinates (xyxy) |
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- `segmentation`: list of polygons, each polygon is a flat list |
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`[x1, y1, x2, y2, ...]` in pixel coordinates. |
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`segmentation[0]` is the exterior polygon; subsequent entries are holes if present. |
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Bounding boxes are derived from the exterior polygon by taking min/max of x and y. |
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## Splits |
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- `train`: 948 images |
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- `test`: 50 images |
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## Labels |
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The part classes are: |
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Back-bumper, Back-door, Back-wheel, Back-window, Back-windshield, Fender, Front-bumper, Front-door, |
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Front-wheel, Front-window, Grille, Headlight, Hood, License-plate, Mirror, Quarter-panel, |
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Rocker-panel, Roof, Tail-light, Trunk, Windshield. |
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## Usage |
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```python |
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from datasets import load_dataset |
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ds = load_dataset("moondream/car_part_damage", split="train") |
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print(ds[0]["annotations"][0]["bbox"]) # [x_min, y_min, x_max, y_max] |
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print(ds[0]["annotations"][0]["category"]) # part name |
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``` |
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