OctoMed/PAD_UFES_20
PAD_UFES_20 - Skin Lesion Classification Description This dataset contains smartphone-captured images of skin lesions for diagnostic classification. The task involves classifying each lesion into one of six categories. 16 reasoning traces were collected for each example in this task by sampling with GPT-4o, available in the responses column. We greatly appreciate and build from the original data source available at https://data.mendeley.com/datasets/zr7vgbcyr2… See the full description on the dataset page: https://huggingface.co/datasets/OctoMed/PAD_UFES_20.
| Author / organization | OctoMed |
|---|---|
| Downloads | 274 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 28 April 2026 |
| Last updated at source | 28 April 2026 |
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274 now (+122 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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