---
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.