Public International Image Database
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Clinicians & Educators
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View Dermatology Images
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Clinicians
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Contribute Images
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AI Researchers
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Acquire Training Data
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AI Researchers
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Take Part in ML Competitions
Engaging Stakeholder Communities
2024 Challenge
ISIC Machine Learning Challenge
In this competition, you'll develop image-based algorithms to identify histologically confirmed skin cancer cases with single-lesion crops from 3D total body photos (TBP). The image quality resembles close-up smartphone photos, which are regularly submitted for telehealth purposes. Your binary classification algorithm could be used in settings without access to specialized care and improve triage for early skin cancer detection.
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
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.
Creating and Disseminating Skin Imaging Standards
Upcoming Workshop
The Alignment Problem in Medicine
In this special session, we will explore the alignment of AI systems with human values within image-based diagnostic medicine. To integrate complex ethical principles and embed human values into AI algorithm, it is required to understand ethical frames in healthcare and apply it in AI development. Transparency and biases in AI systems will also be important discussion topics in this session.
Latest Announcements
April 1, 2026
Updated anatomic site taxonomy
ISIC Archive Data Dictionary v 2.4 was released after recent implementation of a new hierarchical anatomic site metadata field loosely based on an expert Delphi consensus (https://doi.org/10.1111/jdv.16855)
November 21, 2025
Kurtansky et al. publishes 2024 Challenge recap in npj Digital Medicine
Presents evidence that automated lesion selection could support total-body exams, evaluates the relative importance of input metadata features on diagnostic performance, and identifies characteristics of ML model perceived risk.
September 23, 2025
10th ISIC Skin Image Analysis Workshop
This workshop will serve as a venue to facilitate advancements and knowledge dissemination in the field of skin image analysis, raising awareness and interest for these socially valuable tasks.
August 7, 2025
MILK10k benchmarking platform
Submission system and leaderboard are now open.
December 8, 2024
Kurtansky et al. publishes ISIC 2020 Challenge recap in JEADV
Lack of clinical context is a common limitation of human reader studies. State-of-the-art algorithms from the 2020 SIIM-ISIC Challenge tended to outperform human readers who were provided patient-contextual images.
October 10, 2024
9th Skin Image Analysis Workshop @ MICCAI
This workshop will serve as a venue to facilitate advancements and knowledge dissemination in the field of skin image analysis, raising awareness and interest for these socially valuable tasks.
September 6, 2024
Conclusion of the ISIC 2024 Challenge
ISIC 2024 - Skin Cancer Detection with 3D-TBP competition closes on Kaggle. Thanks to all 3,410 participants for submitting a combined 79,008 solutions!
August 14, 2024
Kurtansky et al. publishes SLICE-3D dataset paper in Scientific Data
400,000 lesion images were extracted from 3D TBP captured from around the world. The dataset was used to train algorithms in the ISIC 2024 Challenge.
June 27, 2024
ISIC 2024 Challenge Begins
ISIC 2024 - Skin Cancer Detection with 3D-TBP competition opens on Kaggle, featuring a dataset of over 900K images. $80,000 in prize-money up for grabs.
June 24, 2024
MICCAI Workshop paper submission deadline
Deadline to submit papers for the 9th Skin Image Analysis Workshop at MICCAI, hosted in Marrakesh, Morocco on October 10, 2024.
6/27/24
Disseminating Standards
Compatibility in resolution, color processing, technical metadata, compression, and encryption
Josep Malvehy, MD
Hospital Clinic of Barcelona
Barcelona, Spain
Disseminating Standards
Terms to describe anatomic sites, diagnoses, and morphology (clinical, dermoscopic, and histologic) depicted in skin images
Harald Kittler, MD
Medical University of Vienna
Vienna, Austria
Disseminating Standards
Patient and lesion identification, documentation of lesion attributes, and image acquisition (e.g., poses, orientation, lighting, magnification, use of size and color calibration markers, etc.)
Kelly Nelson, MD
MD Anderson Cancer Center
Houston, TX, USA
Matilda Nicholas, MD, PhD
Duke Health
Durham, NC, USA
Disseminating Standards
Internationally recognized DICOM standard for use in dermatology
Liam Caffery, PhD
University of Queensland
Brisbane, Australia
Disseminating Standards
Frameworks to ensure patient confidentiality in dermatology images
Liam Caffery, PhD & H. Peter Soyer, MD
University of Queensland
Brisbane, Australia
Veronica Rotemberg, MD, PhD
Memorial Sloan Kettering Cancer Center
New York, NY, USA
AI-Related Engagement
Facilitating the development of accurate and effective computerized systems to aid melanoma diagnosis and clinical decision support
Ralph Braun, MD, PhD
University Hospital Zurich
Zurich, Switzerland
Kelly Nelson, MD
MD Anderson Cancer Center
Houston, TX, USA
Disseminating Resources
Creating educational resources that use the Archive, and building a self-testing process that supports active learning
Disseminating Resources
Engaging with the computing and engineering communities through annual workshops and various publications.
Emre Celebi, PhD
University of Central Arkansas
Conway, AR
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.
Launched August 7, 205
Paper by Philipp Tschandl et al. [link]
Dataset
- Multi-modal imaging
- 5,240 training cases [link]
Task - lesion diagnostic classification (11) with paired dermoscopic and close-up images
Task - classification of lesions cropped from total-body photography images
Featured Kaggle Competition
June 26-September 6, 2024
Released datasets
- Training: 401,059
-
Testing: undisclosed
Total prizes - $80,000
Conference - MICCAI
Task - classification with clustered observations
Melanoma vs benign
Participation - 3,308 participant teams
Released datasets
- Training: 33,126
-
Testing: 10,982
Total prizes - $30,000
Conference - C-MIMI
Task - classification with out-of-distribution
8 diagnoses + 1 OOD class
Participation - 64 participant teams
Released datasets
- Training: 25,331
-
Testing: 8,238
Total prizes - $7,000
Conference - MICCAI
3 Subtasks
Lesion mask segmentation
Attributes detection
5 classes
Diagnostic classification
7 classes
Participation - 113 participant teams
Released datasets
- Training: 10,015
-
Testing: 1,512
Total prizes - $7,500
Conference - MICCAI
3 Subtasks
Lesion mask segmentation
Attributes detection
4 classes
Diagnostic classification
3 classes
Participation - 33 participant teams
Released datasets
- Training: 2,000
-
Testing: 600
Conference - ISBI
Participation - 44 participant teams
Released datasets
- Training: 900
-
Testing: 379
Conference - ISBI
3 Subtasks
Lesion mask segmentation
Attribute detection
2 morphologic features
Diagnostic classification
Melanoma vs bengin
An overview of the ISIC Archive, voiceover by Veronica Rotemberg (AI Working Group Leader)
ISIC Working Groups have published dozens of seminal papers in high-impact journals.
ISIC has held numerous workshops at conferences including CVPR and MICCAI
Our Partners
10,413 Registered Users
549,571 Public Images
1,203,225 Total Images
22 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