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Dataset · Hugging Face

AI-for-Medicine-and-Health/polyp-regime-bench-data

PolypRegimeBench — split & augmentation manifests This repository defines the exact image sets used in PolypRegimeBench, a controlled benchmark of 12 polyp detectors across 7 training regimes. It contains manifests only: file lists, split assignments, filtered IDs, augmentation recipes and checksums. It does not redistribute any third-party endoscopy images, masks or videos. 🔗 Code (GitHub) · 756 checkpoints & predictions The splits White-light images only.… See the full description on the dataset page: https://huggingface.co/datasets/AI-for-Medicine-and-Health/polyp-regime-bench-data.

Author / organizationAI-for-Medicine-and-Health
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Created1 October 2026
Last updated at source9 October 2026
medical-imagingcolonoscopypolyp-detectionbenchmark
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