Public International Image Database
Engaging Stakeholder Communities
Serving the Clinical and Computer Vision Communities
The International Skin Imaging Collaboration (ISIC) is an academia and industry partnership designed to use digital skin imaging to help reduce skin cancer mortality.
ISIC works to achieve its goals through the development and promotion of standards for digital skin imaging, and through engaging the dermatology and computer vision communities toward improved diagnostics.
The ISIC Archive
A large and expanding open-source public-access archive of skin images serves as a public resource for teaching, research, and the development and testing of diagnostic artificial intelligence algorithms
Browse tens of thousands of public images
Define an image collection and collect annotations
Access data through the command line
Contribute data from your own clinic
Creating and Disseminating Skin Imaging Standards
Developing standards to ensure quality, privacy, and interoperability of dermatologic images.
Organizing workshops and ML challenges to engage with computer vision researchers.
Disseminating resources for educating the next generation of skin cancer experts.
Hosting competitions to engage the computer vision community to improve dermatologic diagnostic accuracy with the aid of AI.
The following tasks are open for live-submission scoring:
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2020: SIIM-ISIC Melanoma Classification with patient-clustered images (2 classes)
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Hosted by Terminology WG member Dr. Konstantinos Liopyris, in parternship with IDS
ISIC Working Groups have published dozens of seminal papers in high-impact journals.
Our Partners
6,834 Registered Users
76,108 Public Images
240,655 Total Images
21 Core Publications
1000+ Citations
Generously funded by The Shore Family Fund
The International Skin Imaging Collaboration
Improving Skin Cancer Diagnosis by
● Promoting Standards in Skin Imaging
● Gathering and Sharing Dermatologic Images
● Engaging Clinicians & Computer Vision Researchers
