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--- |
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license: cc |
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task_categories: |
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- image-classification |
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- image-segmentation |
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language: |
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- en |
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tags: |
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- ISIC |
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- HAM10000 |
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- dermatology |
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- medical |
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- skin-disease |
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- bbox |
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- spatial-annotations |
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size_categories: |
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- 1K<n<10K |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: test |
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path: data/test-* |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: lesion_id |
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dtype: string |
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- name: image_id |
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dtype: string |
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- name: diagnosis |
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dtype: string |
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- name: dx_type |
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dtype: string |
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- name: age |
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dtype: float32 |
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- name: sex |
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dtype: string |
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- name: localization |
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dtype: string |
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- name: bbox |
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sequence: float32 |
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- name: area_coverage |
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dtype: float32 |
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splits: |
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- name: train |
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num_bytes: 3004910314.4 |
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num_examples: 8012 |
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- name: test |
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num_bytes: 751227578.6 |
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num_examples: 2003 |
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download_size: 3755966729 |
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dataset_size: 3756137893.0 |
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--- |
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# HAM10000 with Spatial Annotations and Bounding Box Coordinates |
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Enhanced version of HAM10000 dataset with bounding box coordinates and spatial descriptions for skin lesion localization. |
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## Dataset Description |
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This dataset extends the original HAM10000 dermatology dataset with: |
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- Bounding box coordinates for lesion localization |
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- Spatial descriptions (e.g., "located in center-center region") |
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- Area coverage statistics |
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- Mask availability flags |
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## Features |
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- **image**: RGB skin lesion images |
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- **diagnosis**: Skin condition diagnosis codes (mel, nv, bkl, etc.) |
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- **bbox**: [x1, y1, x2, y2] bounding box coordinates |
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- **spatial_description**: Natural language location descriptions |
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- **area_coverage**: Lesion area relative to image size |
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- **localization**: Body part location |
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- **age/sex**: Patient demographics |
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## Usage |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("abaryan/ham10000_bbox") |
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train_data = dataset["train"] |
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# Access image and annotations |
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sample = train_data[0] |
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image = sample["image"] |
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bbox = sample["bbox"] |
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description = sample["spatial_description"] |
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``` |
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## Citation |
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Based on original HAM10000 dataset. Enhanced with spatial annotations for vision-language model training. |
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""" |
