OpenGVLab/SA-Med2D-20M

SA-Med2D-20M The largest benchmark dataset for segmentation in the field of medical imaging. As is well known, the emergence of ImageNet has greatly propelled the development of AI, especially deep learning. It has provided massive data and powerful baseline models for the computer vision community, enabling researchers to achieve breakthroughs in tasks such as natural image classification, segmentation, and detection. However, in the medical image realm, there lack of such a large… See the full description on the dataset page: https://huggingface.co/datasets/OpenGVLab/SA-Med2D-20M.

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