Simone Bonechi

Simone Bonechi

Doctor of Engineering - Researcher at University of Siena

ISIC_WSM

Coco-Text Segmentation (COCO_TS) Dataset


The ISIC_WSM dataset (ISIC_WSM_labels.zip (198 MB)) provides pixel–level supervisions for a subset of images (43885) from the ISIC archive, while the original images can be downloaded separately at the ISIC website. The supervision is obtained from the available bounding–boxes of the COCO–Text dataset exploiting a weakly supervised algorithm. See the paper for more details.

Annotations Description

The semantic label maps are saved as .png images with the same name as the original images of the ISIC archive. Pixel values of the provided annotation are defined as follows:

  • 0 - Background
  • 1 - Foreground (Lesion)
  • 255 - Uncertain

Terms of use

The annotations in this dataset are licensed under a Creative Commons Attribution 4.0 License and by downloading the annotations you confirm that you agree to this terms of use.

If you use this dataset for your research, please cite the following papers:

  • [bib] Bonechi, S. (2022, November). A weakly supervised approach to skin lesion segmentation. In ESANN 2022 proceedings European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning.
  • [bib] Bonechi, S., ISIC_WSM: Generating Weak Segmentation Maps for the ISIC archive, Neurocomputing, Volume 523, Pages 69-80, ISSN 0925-2312, 2023, https://doi.org/10.1016/j.neucom.2022.12.033.