IMA++

This collection contains all the images associated with the [IMA++ dataset](https://doi.org/10.5281/zenodo.14201692). 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.