The CSIP (Contrastive anime Style Image Pre-Training) dataset is a comprehensive collection of anime-style images designed for style classification and artist recognition tasks. This dataset contains a diverse range of artwork from various anime artists, making it particularly valuable for computer vision applications focused on artistic style analysis and content-based image retrieval. The dataset is… See the full description on the dataset page: https://huggingface.co/datasets/deepghs/csip.
