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Commercial
Facial Skin Condition Dataset
High-resolution skin condition face dataset containing annotated images of human faces with visible skin problems such as acne, redness, and eye bags, designed to support skin condition detection, disease classification, and training of computer vision and learning models across diverse skin types and dermatology conditions.
-
- images
- 639
-
- people
- 213
- Medicine
- Computer Vision
- Machine Learning
- Facial Recognition
- Medicine
- Computer Vision
- Machine Learning
- Facial Recognition
High-resolution skin condition face dataset containing annotated images of human faces with visible skin problems such as acne, redness, and eye bags, designed to support skin condition detection, disease classification, and training of computer vision and learning models across diverse skin types and dermatology conditions.
- Medicine
- Computer Vision
- Machine Learning
- Facial Recognition
-
- images
- 639
-
- people
- 213
Dataset Info
| Characteristic | Data |
| Description | Images of human face with visible skin texture/issues |
| Data types | Image |
| Tasks | Skin Condition Detection, Computer Vision |
| Number of people | 213 |
| Number of files in a set | 3 images per person |
| Total number of files | 639 |
| Labeling | Metadata (ID, gender, age, ethnicity) |
| Gender | Male, Female |
| Types of skin problems | 4 (acne,acne black, bags, redness) |
| Types of face angles | Frontal, left, right |
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Statistics
- Gender Distribution
- Distribution by Type of Skin Problem
- Age Distribution
Before You Buy The Full Set
This dataset is available for AI stress testing. We run your model on it and report error rates per class, segment & condition, so you buy only the 5–30% that fixes the classes it missed.
Show me what fails
Technical
Characteristics
| Characteristic | Data |
| Image extension | jpg |
Dataset Use Cases
FAQs
What types of annotations are provided?
Each image includes detailed metadata labels specifying the individual’s demographic attributes (age, gender, ethnicity) and visible skin issues such as acne, blackheads, redness, or eye bags.
Can I request a sample of the dataset before purchasing or downloading it?
Yes. Unidata offers free sample images from Facial Skin Condition Dataset to help users evaluate data quality, diversity of skin tones, and labeling accuracy. These samples allow you to confirm that the dataset aligns with your skin condition detection or dermatology research needs.
Which facial skin conditions are represented in the dataset?
The dataset includes images designed for training AI systems to recognize visible facial skin conditions such as acne, pigmentation changes, redness, wrinkles, pores, and other dermatological characteristics, depending on the available annotations.
What are the sources of data for Unidata datasets?
All images in Facial Skin Condition Dataset were collected via verified crowdsourcing platforms.
How are Unidata datasets licensed?
Unidata datasets follow a dual-licensing model. Free samples are available for evaluation and testing, while full datasets are offered exclusively through purchase for commercial or academic use. This ensures flexibility for research and enterprise users alike.
Do Unidata datasets follow GDPR or other data privacy regulations?
Yes. All datasets, including Facial Skin Condition Dataset, are curated in full compliance with GDPR and applicable data protection laws. Data is sourced ethically and lawfully, ensuring anonymized, non-identifiable imagery and strict privacy safeguards.
How are Unidata datasets stored?
Unidata securely stores all datasets on AWS cloud infrastructure, offering high reliability, availability, and compliance with ISO 27001 and ISO 27701 standards. This ensures that facial images and metadata are handled in a secure, privacy-conscious, and globally compliant environment.
How long does it take to receive the dataset?
Once your request is submitted, Unidata will contact you to confirm dataset details and complete the necessary documentation. After the purchase agreement is finalized, the dataset will be delivered securely within 3–10 business days.
Is this a real-world dataset or synthetic data?
This is a real-world dataset featuring authentic human faces captured under real conditions.
Still have questions about using Unidata datasets?
Read our user-guides
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