Danbooru2023: A Large Scale Crowdsourced and Tagged Anime Illustration Dataset Danbooru2023 is a large scale anime image dataset with over 5 million images contributed and annotated in detail by an enthusiast community. Image tags cover aspects like characters, scenes, copyrights, artists, etc with an average of 30 tags per image. Danbooru is a veteran anime image board with high quality images and extensive tag metadata. The dataset can be used to train image classification, multi label tagging, character detection, generative models, and other computer vision tasks. Shared by: Nyanko Devs Language(s): English, Japanese License: MIT This dataset is built on the top of danbooru2021. We expands the dataset to include images up to ID 6,857,737, adding over 1.8 million additional images and total size is now approximately 8 terabytes (8,000 GB). Use Format The goal of the dataset is to be as easy as possible to use immediately, avoiding obscure file formats, while allowing simultaneous research & seeding of the torrent, with easy updates. Images are provided in the full original form (be that JPG, PNG, GIF or otherwise) for reference/archival purposes, and bucketed into 1000 subdirect…
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