Human Faces
A data set of varied human faces (age, ethnicity, profile), useful for training facial recognition models, classification or detection of synthetic images.
Description
The dataset Human Faces is a collection of over 7,200 images of human faces, selected for their ethnic, generational and morphological diversity. Some images generated by GAN are also included in order to add an additional challenge to synthetic content detection models.
What is this dataset for?
- Training facial recognition models that are robust to the diversity of faces
- Detect images generated by GAN by training specialized classifiers
- Perform tasks to group or identify individuals
Can it be enriched or improved?
Yes, it can be enriched with additional metadata such as gender, estimated age, or facial orientation. It is also possible to annotate images according to whether they are synthetic or real for specific detection tasks.
🔎 In summary
🧠 Recommended for
- GAN detection projects
- Face recognition
- Face classifier training
🔧 Compatible tools
- TensorFlow
- PyTorch
- OpenCV
- Keras
💡 Tip
For reliable results in GAN detection, combine this dataset with a second 100% synthetic set to balance the classes.
Frequently Asked Questions
Does this dataset contain metadata associated with faces?
No, only images are provided. It can be enriched manually if needed.
Are the GAN images identifiable in the dataset?
No, they are not explicitly marked. Manual annotation is recommended to separate them.
Can I use this dataset for commercial purposes?
Yes, the CC0 license allows free and commercial use without restrictions.
