--- license: mit task_categories: - image-classification - image-to-image - text-to-image language: - en - ja tags: - anime - danbooru - art pretty_name: danbooru2025 size_categories: - 10M # Danbooru2026: A Large-Scale Crowdsourced and Tagged Anime Illustration Dataset [WIP] ## Dataset Description Danbooru2026 is a large-scale anime illustration dataset containing over 10 million community-annotated images. It is intended for research and development in anime-style image generation, image classification, multimodal learning, and related tasks. Danbooru is a long-running image board known for its extensive tagging system and community-maintained metadata. **Key Specifications:** * **Shared by:** Nyanko Devs * **Source:** Danbooru Community * **Language(s):** English, Japanese, Mixed * **Dataset License:** MIT, Original images retain their respective copyrights * **Image Format:** WebP * **Image Count:** 11M+ (IDs up to #11,740,611) This dataset builds upon [danbooru2023](https://huggingface.co/datasets/nyanko7/danbooru2023) and expands the collection by more than 4.5 million images. ## Image Processing Danbooru2026 contains images only. Non-image files, animations, videos, audio files, archives, documents, and other unsupported media are excluded. All included images are: * decoded from their original source files, converted to the WebP format; * resized to a maximum of 4 million pixels while preserving the original aspect ratio; * stored without upscaling images that are already below the resolution limit. For an image with width (W) and height (H), resizing is applied only when: ```text W × H > 4096 × 4096 ``` ## Dataset Structure and Format The dataset is designed to be straightforward to use, avoiding obscure storage formats while supporting efficient downloading, local access, research, and torrent seeding. Images are stored as WebP files and distributed across 1,000 zero-padded buckets named `0000` through `0999`. The bucket for each image is determined by the Danbooru post ID modulo 1,000. For example: ```bash BUCKET=$(printf "%04d" $((ID % 1000))) ``` The corresponding image path is: ```text original/$BUCKET/$ID.webp ``` An image with post ID `210001` is therefore stored at: ```text original/0001/210001.webp ``` ### File Tree ```text / └── danbooru2026/ ├── README.md ├── metadata/ │ ├── posts.parquet │ └── ... └── original/ ├── 0000/ -> data-0000.tar ├── 0001/ -> data-0001.tar │ ├── 10001.webp │ ├── 210001.webp │ └── ... └── ... (up to 0999) ``` ## Notes The processed dataset does not preserve the original source file formats. Every successfully decoded item is provided as a WebP image with a maximum resolution of 4 megapixels. Files that cannot be safely decoded as images are excluded from the processed image collection. This includes corrupted files, incorrectly labeled non-image files, unsupported media, and other invalid source data.