license: cc-by-4.0
task_categories:
- image-classification
tags:
- medical
- dermatology
- education
- multimodal
pretty_name: ML Bootcamp — Skin Lesion Course Data
ML Bootcamp — course data bundles
Teaching material for a three-week multimodal skin-lesion classification course at Hongik University. Distributed as checksum-verified archives that the course starter repository downloads and validates.
| Bundle | Contents |
|---|---|
standard.tar.gz |
training and development split — clinical images plus patient/lesion metadata, labeled |
public_leaderboard.tar.gz |
development leaderboard inputs — unlabeled |
Labels for the leaderboard set are not published; they stay with the course staff, and submissions are scored offline.
Source and attribution
Derived from PAD-UFES-20, released under CC BY 4.0:
Pacheco, A. G. C. et al. PAD-UFES-20: A skin lesion dataset composed of patient data and clinical images collected from smartphones. Data in Brief, 2020.
This derivative is likewise CC BY 4.0. Changes from the source: patient-disjoint partitioning, removal of diagnosis-leaking fields, renaming of samples to course identifiers, and a mapping of the six diagnostic classes to a binary cancer / non-cancer target.
Intended use
Educational only. Not a clinical diagnostic tool. Models trained on this data must not be used for medical decisions.