The ArtBench Dataset: Benchmarking Generative Models with Artworks - Technology Org

Deep generative models can synthesize diverse and high-fidelity images. Computational understanding of art attracts more and more attention because of its importance for art history, computational creativity and human-computer interaction. The new research proposes the idea to use art for the purposes of benchmarking generative AI models. The dataset is composed of 60,000 images annotated with 10 artistic styles such as Baroque or Surrealism. The images are of high-quality with clean and balanced labels and can be easily incorporated in commonly used deep learning frameworks.