SkinIA

Datasets for skin image analysis

Note: More details about some of these datasets are found in our survey:  Visual Diagnosis of Dermatological Disorders: Human and Machine Performance. Below we just provide links to different websites. To list your/other dataset here, please contact us at hamarneh@sfu.ca

• Ahsan et al. Monkeypox-dataset-2022  https://github.com/mahsan2/Monkeypox-dataset-2022 

• ACNE04: https://github.com/xpwu95/LDL 

• BCN_20000 (Part of ISIC 2019) https://challenge2019.isic-archive.com/data.html 

• Asan and Hallym https://figshare.com/articles/Asan_and_Hallym_Dataset_Thumbnails_/5406136  

• Atlas Dermatologico http://www.atlasdermatologico.com.br 

• DermQuest http://dermquest.com

• DermAtlas http://www.dermatlas.net 

• Dermis http://www.dermis.net/dermisroot/en/home/index.htm 

• Dermnet  http://www.dermnet.com 

• DermWeb http://www.dermweb.com 

• Dermnet NZ  https://www.dermnetnz.org 

• Dermatoweb http://www.dermatoweb.net

• Danderm http://www.danderm-pdv.is.kkh.dk/atlas/index.html 

• Dermatologia Praktyczna http://derma.pl/

• DermSynth3D: https://github.com/sfu-mial/DermSynth3D 

• DermX (525 dermatological images with diagnoses and diagnosis explanations by three dermatologists) https://github.com/ralucaj/dermx 

• Dermofit https://licensing.edinburgh-innovations.ed.ac.uk/i/software/dermofit-image-library.html

• Derm7pt http://derm.cs.sfu.ca/ 

• Diverse Dermatology Images (DDI) https://ddi-dataset.github.io 

• ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): ABC criteria annotations of ISIC 2017 and PH2 datasets  https://github.com/raumannsr/ENHANCE

• Fitzpatrick17k (16,577 clinical images with diagnosis and Fitzpatrick scale labels) https://github.com/mattgroh/fitzpatrick17k

• HAM10000 https://www.nature.com/articles/sdata2018161 

• Hellenic Derm Atlas http://www.hellenicdermatlas.com/en

• ISIC  https://isic-archive.com/   Note: the Gallery section includes the following datasets

  • 2018 JID Editorial Images (100)

  • Dermoscopedia (CC-BY) (5)

  • HAM10000 (10015)

  • MSK-1 (1100), MSK-2 (1535), MSK-3 (225), MSK-4 (947), MSK-5 (111)

  • SONIC (9251)

  • UDA-1 (557), UDA-2 (60)

• Islam et al. Monkeypox Skin Image Dataset 2022: www.kaggle.com/datasets/arafathussain/monkeypox-skin-image-dataset-2022  

• MedMNIST https://medmnist.com 

• Med-Node http://www.cs.rug.nl/~imaging/databases/melanoma_naevi/ 

• Meddean http://www.meddean.luc.edu/lumen/MedEd/medicine/dermatology/melton/atlas.htm 

• MoleMap https://molemap.co.nz 

• MSK https://arxiv.org/abs/1710.05006 

• PH2 https://www.fc.up.pt/addi/ph2%20database.html 

• PAD-UFES-20 (clinical skin lesion images from smartphones) https://data.mendeley.com/datasets/zr7vgbcyr2/1

• Skin3D https://github.com/jeremykawahara/skin3d 

• SD198: https://drive.google.com/file/d/1YgnKz3hnzD3umEYHAgd29n2AwedV1Jmg/view

• Skin Cancer Detection: https://uwaterloo.ca/vision-image-processing-lab/research-demos/skin-cancer-detection

• SKINCON:  https://skincon-dataset.github.io/index.html 

• University of Iowa Clinical Skin Disease Images http://www.medicine.uiowa.edu/dermatology/diseaseimages/ 

• UWaterloo Skin Cancer Detection dataset (images taken from DermIS and DermQuest along with lesion segmentation) https://uwaterloo.ca/vision-image-processing-lab/research-demos/skin-cancer-detection

• XiangyaDerm http://airl.csu.edu.cn/xiangyaderm/