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- Name: IMA++
- Number of images: 14,967
- Number of specified lesions: 1,646
- Number of specified patients: 1,244
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Description:
This collection contains all the images associated with the IMA++ dataset.
The IMA++ dataset is the largest publicly available multi-annotator skin lesion segmentation (SLS) dataset, collected from the ISIC Archive to facilitate skin lesion image segmentation research. It contains 17,684 segmentation masks spanning 14,967 dermoscopic images, where 2,394 dermoscopic images have 2-5 segmentations per image from the ISIC Archive, annotated by 16 distinct annotators, with at least one annotation per image. The dataset captures a wide range of segmentation styles influenced by annotator expertise, tools used, and manual review processes, making it a valuable resource for developing and evaluating SLS models.
