“We were very happy with the quality of the data that we purchased. It will assist our efforts to improve our product. The team at Unidata was very responsive to our needs, and provided the data format needed to complete our tasks. We are happy to state that Unidata delivers a high quality product in an effective and efficient manner.”
Kids Anti-Spoofing Dataset
The dataset provides 6,000 high-quality facial images of children aged 7–15 for face anti-spoofing and liveness detection tasks. This child safety dataset supports research in biometric systems, helping improve facial recognition accuracy, detect spoofing attacks, and build safer AI models for protecting kids in digital and identification environments.
-
- Images
- 6 000
-
- people
- 300
- Facial Recognition
- Security
- Anti-spoofing
- Computer Vision
- Machine Learning
- Facial Recognition
- Security
- Anti-spoofing
- Computer Vision
- Machine Learning
The dataset provides 6,000 high-quality facial images of children aged 7–15 for face anti-spoofing and liveness detection tasks. This child safety dataset supports research in biometric systems, helping improve facial recognition accuracy, detect spoofing attacks, and build safer AI models for protecting kids in digital and identification environments.
- Facial Recognition
- Security
- Anti-spoofing
- Computer Vision
- Machine Learning
-
- Images
- 6 000
-
- people
- 300
Dataset Info
| Characteristic | Data |
| Description | Photos of children and teenagers for anti-spoofing tasks. |
| Data types | Image |
| Tasks | Face recognition, Computer Vision |
| Total number of files | 6000 |
| Number of files in a set | 300 |
| Labeling | Metadata (ID, gender, age, ethnicity) |
| Age | 7-15 |
| Gender | Male, Female |
Technical
Characteristics
| Characteristic | Data |
| Image Extension | JPG |
Statistics
- Gender Distribution
- 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.
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