BrachioLab/chestx
Dataset Structure This dataset contains vision data for chest X-ray pathology identification. Data Fields image: The PIL image of the chest X-ray. These images are size (224,224) by default. pathols: A binary-valued (14)-shaped array that indicates whether each of the 14 pathologies is present. structs: A binary-valued array of shapes (14,224,224) that gives the segmentation for each of the 14 anatomical structures. The 14 pathologies are: Atelectasis… See the full description on the dataset page: https://huggingface.co/datasets/BrachioLab/chestx.
| Author / organization | BrachioLab |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 200 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 1 June 2024 |
| Last updated at source | 18 June 2024 |
Popularity, last 2 days
200 now (-2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Dataset Structure This dataset contains vision data for chest X-ray pathology identification. Data Fields image: The PIL image of the chest X-ray. These images are size (224,224) by default. pathols: A binary-valued (14)-shaped array that i → Dataset Structure This dataset contains vision data for chest X-ray pathology identification. Data Fields image: The PIL image of the chest X-ray. These images are size (224,224) by default. pathols: A binary-valued (14)-shaped array that i
Changes detected by Silytics between refreshes of the source.
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