BOORU CHARS dataset 2026 (danbooru e621 zerochan) 2560/1920/2480 px with metadata

Next after BOORU CHARS 2025 and BOORU CHARS 2024 pack with "the best of" new posts from danbooru (safe and general, ID 9100000..11200000 = 24.04.2025..20.04.2026), e621 (safe ONLY, ID 5492000..6339620) and zerochan ID 4430000..4680000 for the nearly same interval.

This time :

• image subsetting rely heavily on prefetched imageboard score, most of published images even not grabbed
• all Questionable images unconditionally placed to (upcoming) BOORU_ECCHI_2026 release
  • it also will contain crossBOORU CATALOG updated since 2023

As usual :

• images initially filtered Mpixels>=0.48, shorter_side>=600 px, volume>=60000 bytes, no animations stripes dropped or cropped to aspect ratio 0.4..2.1
• PNG/WEBP/AVIF converted to JPG using cjpegli 96% quality (2000000 bytes limit) modest downsampling done to longer side 2560px (landscape) 1920px (1x1) 2480px (portrait)
• verbose file naming used "%website% - %id% - %up_to_3_copyrights% ~ %up_to_5_characters% (%up_to_2_artists%).jpg" files uniquely identified by "%website%+%id%"
• some general image statistics got with EXIFTOOL and IMAGE MAGICK
• content analisys was mostly the same as BC2023-2025 with actual software and models
  • CRAFT text detector used to estimate total size and number of text pieces
  • torso components detected with custom PyTorch model being built over Ultralitics YOLOv11
• clustering and sorting inside cluster implemented to arrange compositionally and visually similar pictures inspect "readme" for details
• images deduplicatied using AntiDupl up to 2% similarity along with BOORU CHARS 2025, 2024
• semi-automated quality check and cleanup done as follow
  • real-life photos, no-character landscapes, foods and macro thrown away
  • most of comic and N-koma, overtexted images and line-arts filtered out

Beside images release contains tab separated texts :

• BC_2026.tsv file/image related metadata 700.010 rows
• BC_2026_tags.tsv tags list with enrichment
• BC_2026_yolo.tsv detailed results for torso components detection
• BC_2026_yolov11m_aa22.pt PyTorch YOLOv11 model and also additional "readme" with data descripton

Keep in mind this release (just like all others BOORU CHARS) is first of all a uniform dataset of character-centric art in effective local format suited for batch processing and then a representative catalog of anime/game/cartoon copyrights, characters and artists for visual estimation but not offer high image resolution and and does not claim to be complete.