Image · Medical
Facial Skin Condition Dataset - 639 Images for Skin Condition Detection and Computer Vision
Advertised by providerLicensing rights not independently verifiedPaid licence
Overview
Facial Skin Condition Dataset - 639 Images for Skin Condition Detection and Computer Vision is an image and medical dataset. The provider states a volume of 639 images. Typical applications include object detection and medical imaging. The listing mentions classification labels. It is offered as a paid dataset; pricing details are provided on request.
Primary applications
What the listing offers
- Stated volume of 639 images.
- Listing mentions classification labels.
Overview The Facial Skin Condition Dataset is a curated collection of 639 high-quality facial images representing 213 unique individuals, designed to support dermatological research, AI-powered diagnostics, and computer vision applications in medical imaging. The dataset covers a wide spectrum of skin conditions — from acne and redness to under-eye bags — enabling robust model training for skin disease detection, classification, and diagnosis. Each image is accompanied by structured metadata, including subject ID, gender, age, and type condition, making it suitable for demographic-aware research and cross-group analysis. Skin Conditions Covered The dataset includes 4 annotated condition categories across all 213 subjects: 1. Acne — 54 subjects 2. Acne black — 43 subjects 3. Bags — 58 subjects 4. Redness — 58 subjects Subject Demographics The dataset represents 213 people across a balanced mix of genders, skin tones, and age groups: 1. Gender distribution: 102 female subjects and 111 male subjects 2. Age groups represented: 10, 15, 18, 20, 25, 30, 35, 50, and 55 years — with the largest cohorts at ages 20 (94 subjects) and 30 (96 subjects) Image Specifications 1. Total images: 639 2. Subjects: 213 unique individuals (~3 images per subject on average) 3. Image quality: high-resolution facial photographs 4. Capture poses: frontal, left profile, and right profile views Multiple poses per subject allow models to learn condition appearance from different angles, improving robustnes
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- Language
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- Volume
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- Use case
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No licence fee listed
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