deepghs/anime_dbrating

Anime Danbooru Rating Dataset

Summary

This dataset provides comprehensive danbooru rating classifications for anime-style images, organized into four distinct categories based on content safety levels. The dataset contains over 1.2 million images distributed across explicit, general, questionable, and sensitive rating classes, making it ideal for training content moderation systems and image classification models specifically tailored for anime and manga-style artwork.

The rating system follows the established danbooru tagging conventions, where images are categorized based on their content appropriateness. This hierarchical classification enables fine-grained control over content filtering, with clear distinctions between safe-for-work and not-safe-for-work material. The dataset's large scale and well-balanced distribution across rating categories make it particularly valuable for developing robust automated moderation tools in anime-focused platforms and applications.

Each image in the dataset is associated with its corresponding danbooru rating tag, providing reliable ground truth labels for supervised learning tasks. The dataset structure facilitates both multi-class classification (predicting exact rating) and binary classification (SFW vs NSFW) tasks, offering flexibility for different application requirements. The comprehensive coverage of anime art styles and diverse content types ensures models trained on this dataset can generalize effectively across various anime and manga artwork.

Dataset Structure

The dataset is organized into four main categories based on danbooru rating tags:

• explicit_278119.zip: Contains 278,119 images with explicit content
• general_341506.zip: Contains 341,506 images with general/safe content
• questionable_320107.zip: Contains 320,107 images with questionable content
• sensitive_341769.zip: Contains 341,769 images with sensitive content

Rating Categories

The danbooru rating system follows this classification:

• safe + sensitive = SFW (Safe For Work)
• questionable + explicit = NSFW (Not Safe For Work)

Applications

This dataset is particularly useful for:

• Training content moderation systems for anime art platforms
• Developing SFW/NSW classification models
• Research in anime image understanding and classification
• Building automated tagging systems for anime artwork
• Content filtering applications for anime communities

Original Content

dbrating == danbooru rating, use danbooru rating tags and danbooru subsets as training dataset safe - sensitive - questionable - explicit, safe + sensitive == sfw, questionable + explicit == nsfw

Citation

@misc{anime_dbrating,
  title        = {Anime Danbooru Rating Dataset},
  author       = {deepghs},
  howpublished = {\url{https://huggingface.co/datasets/deepghs/anime_dbrating}},
  year         = {2023},
  note         = {Large-scale dataset for anime image rating classification using danbooru tagging system},
  abstract     = {This dataset provides comprehensive danbooru rating classifications for anime-style images, organized into four distinct categories based on content safety levels. The dataset contains over 1.2 million images distributed across explicit, general, questionable, and sensitive rating classes, making it ideal for training content moderation systems and image classification models specifically tailored for anime and manga-style artwork. The rating system follows the established danbooru tagging conventions, where images are categorized based on their content appropriateness.},
  keywords     = {image-classification, computer-vision, anime, danbooru, rating-classification}
}