HuMInGameLab/ControlFace10K
ControlFace10k Dataset Overview ControlFace10k is a synthetic face dataset designed for evaluating face recognition systems. It contains 10,008 high-quality images of 3,336 synthetic identities, balanced across race, gender, age, and pose. This dataset was generated using the Synthetic Identity Generation (SIG) pipeline, which allows for precise control over demographic attributes and facial features. The primary purpose of ControlFace10k is to provide researchers… See the full description on the dataset page: https://huggingface.co/datasets/HuMInGameLab/ControlFace10K.
| Author / organization | HuMInGameLab |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 140 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 13 September 2024 |
| Last updated at source | 19 September 2024 |
Recent changes
- 16 Oct 2026 Description: ControlFace10k Dataset Overview ControlFace10k is a synthetic face dataset designed for evaluating face recognition systems. It contains 10,008 high-quality images of 3,336 synthetic identities, balanced across race, gender, age, and pose. → ControlFace10k Dataset Overview ControlFace10k is a synthetic face dataset designed for evaluating face recognition systems. It contains 10,008 high-quality images of 3,336 synthetic identities, balanced across race, gender, age, and pose.
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