IMA++: ISIC Archive Multi-Annotator Dermoscopic Skin Lesion Segmentation Dataset
Version 1Overview 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 segmentat
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Overview 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 segmentat