{"url":"/dataset/passion-dataset","name":"PASSION dataset","full_name":"PASSION derm 2024 dataset","description_markdown":"### Overview\r\n**PASSION derm** is a pioneering initiative dedicated to closing the diversity gap in dermatology datasets. This project provides a unique dataset of skin condition images from **Sub-Saharan Africa**, with a focus on richly pigmented skin. The dataset is designed to emulate teledermatology settings and includes images of **common pediatric skin conditions**, such as eczema, fungal infections, scabies, and impetigo, in diverse quality and resolution. **PASSION derm** aims to improve access to dermatologic care in regions with limited healthcare resources.\r\n\r\n### Dataset Highlights\r\nThis dataset is tailored for AI applications in dermatology. It is also a valuable resource for training medical professionals. Key details include:\r\n\r\n- Images: **4,901 images** from **1,653 patients**\r\n- Conditions Represented: Common pediatric conditions, including **eczema, fungal infections, scabies, and impetigo**\r\n- Regions: Data collected in **telemedicine contexts** in **Sub-Saharan Africa**\r\n\r\n### Dataset License\r\nThe dataset is released under the **PASSION Data Public License**, with the following key terms:\r\n\r\n- **Non-Commercial Use**: This dataset is for non-commercial purposes only.\r\n- **Attribution Required**: Proper attribution must be given when sharing or adapting the data.\r\n- **Re-Identification Prohibited**: Any attempt to re-identify individuals in the dataset is strictly prohibited.\r\n- **Sharing Restrictions**: Only the project website link may be shared, not the direct download link.\r\n\r\nPlease refer to the dataset [license](https://github.com/Digital-Dermatology/PASSION-Evaluation/blob/main/LICENSE.md) for more details.\r\n\r\n### Access\r\nTo access the dataset, please visit **[https://passionderm.github.io/](https://passionderm.github.io/)** and complete the required form. A committee will review your request and notify you shortly after submission.","description_withheld":null,"homepage":"https://passionderm.github.io/","introduced_date":"2024-11-07","introduced_date_note":null,"introduced_by":{"paper":"/paper/passion-for-dermatology-bridging-the","title":"PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa","first_author":"Philippe Gottfrois","url":null},"license":{"name":"PASSION data usage public license","url":"https://github.com/Digital-Dermatology/PASSION-Evaluation/blob/main/LICENSE.md"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Classification","url":"/task/classification-1","datasets_with_task":"/datasets/task/classification-1"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["PASSION dataset"],"data_loaders":[{"repo":"https://github.com/Digital-Dermatology/PASSION_project","url":"https://github.com/Digital-Dermatology/PASSION_project","frameworks":[]}],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}