Description of 3 anime datasets for machine learning based on Danbooru: cropped anime faces, whole-single-character crops, and hand crops (with hand detection model).
Documentation of 3 anime datasets for machine learning based on Danbooru: 300k cropped anime faces (primarily used for StyleGAN/This Waifu Does Not Exist), 855k whole-single-character figure crops (extracted from Danbooru using AniSeg), and 58k hand crops (based on a dataset of 14k hand-annotated bounding boxes used to train a YOLOv3 hand detection model).
These datasets can be used for machine learning directly, or included as data augmentation: faces, figures, and hands are some of the most noticeable features of anime images, and by cropping images down to just those 3 features, they can enhance modeling of those by eliminating distracting context, zooming in, and increasing the weight during training.