exalsius/NIH-Chest-XRay-Federated
NIH Chest X-ray Federated Learning Dataset Federated learning splits designed for the [Cold Start:] Distributed AI Hack Berlin 2025. The dataset is based on the NIH Chest X-ray14 dataset, which contains ~112,000 X-ray images from 30,805 unique patients, and models a federated learning scenario with non-IID characteristics across three hospitals, plus an out-of-distribution test set. Dataset Description The data was partitioned using a scoring algorithm that… See the full description on the dataset page: https://huggingface.co/datasets/exalsius/NIH-Chest-XRay-Federated.
| Author / organization | exalsius |
|---|---|
| License (as declared) | mit |
| Downloads | 135 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 19 November 2025 |
| Last updated at source | 19 November 2025 |
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- 16 Oct 2026 Description: NIH Chest X-ray Federated Learning Dataset Federated learning splits designed for the [Cold Start:] Distributed AI Hack Berlin 2025. The dataset is based on the NIH Chest X-ray14 dataset, which contains ~112,000 X-ray images from 30,805 uni → NIH Chest X-ray Federated Learning Dataset Federated learning splits designed for the [Cold Start:] Distributed AI Hack Berlin 2025. The dataset is based on the NIH Chest X-ray14 dataset, which contains ~112,000 X-ray images from 30,805 uni
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