Art Portraits
Over 10,000 artistic portraits selected and cleaned, perfect for image generation or GaNS training.
Description
The dataset Art Portraits contains more than 10,000 aligned artistic portrait images, the result of a rigorous cleaning of a larger corpus. It is designed specifically for uses in image generation via adversary networks (GAN) or in training creative models.
What is this dataset for?
- Training GaNs for the generation of artistic images
- Exploring portrait styles in a creative AI setting
- Create tools for transforming or stylizing images
Can it be enriched or improved?
Yes, it is possible to add new images in different styles to increase diversity. Annotating artistic styles or eras can also enrich its use. Cultural or geographic variations can be introduced to broaden use cases.
🔎 In summary
🧠 Recommended for
- Digital artists
- Creative AI researchers
- Image generation app developers
🔧 Compatible tools
- Stable Diffusion
- StyleGan
- PyTorch
- TensorFlow
💡 Tip
For best results, start training with a reduced resolution and then refine with the original, high-quality images.
Frequently Asked Questions
Is this dataset suitable for generating art in real time?
Yes, with a well-trained model (e.g. GAN), it can be used for interactive applications in live art generation.
Can you add your own images to this dataset?
Absolutely, it is even recommended to adapt the model to specific styles or a personalized visual identity.
Is it compatible with broadcast architectures like Stable Diffusion?
Yes, images can be used after pre-processing to feed modern delivery models.
