datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SCIN-Dermatology-Raw-Images
SCIN-Dermatology-Raw-Images
This dataset contains 6,517 patient-submitted photographs organized into 3,061 clinical cases of common skin diseases. The source images are curated from the public Google Skin Condition Image Network (SCIN) corpus, cleansed of quality and gradability conflicts, and paired with complete patient-reported demographics, clinical symptoms, and dermatologist gradings.
Dataset Structure
This repository follows the standard Hugging Face… See the full description on the dataset page: https://huggingface.co/datasets/HawkFranklin-Research/SCIN-Dermatology-Raw-Images.dermatology-dataset-acne-redness-and-bags-under-the-eyes
Skin Defects Dataset
The dataset contains images of individuals with various skin conditions: acne, skin redness, and bags under the eyes. Each person is represented by 3 images showcasing their specific skin issue. The dataset encompasses diverse demographics, age, ethnicities, and genders.
The dataset is created on the basis of Facial Skin Condition Dataset
Types of defects in the dataset: acne, skin redness & bags under the eyes
Acne photos: display different… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/dermatology-dataset-acne-redness-and-bags-under-the-eyes.Dermlens-5K
Dermlens 5K: Longitudinal Clinical Photography of Non-Melanoma Skin Cancer Lesions Under Topical Treatment
5,022 clinical photographs of 1,902 non-melanoma skin cancer lesions, taken across a
topical treatment course, each with a lesion segmentation mask and a processed model-ready
crop. Every image passed human review.
Images
5,022
Patients / lesions
1,902
Timepoints
T0 (baseline), T10, T20, T30 (treatment day)
Lesion types
BCC 2,639 · SCC 2,350 · unspecified… See the full description on the dataset page: https://huggingface.co/datasets/Shen-Dermatology/Dermlens-5K.