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Structures for BOORU CHARS 2024 (tab separated) supplementary metadata :
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BC_2024.tsv - file / image info 1.260.629 rows
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* general
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BOORU - imageboard
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FID - post id
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SPATH - zip-archive locator
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RNK - quality rank inside AR+headcount volume
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FNAME - file name "%website% - %id% - %up_to_3_copyrights% ~ %up_to_5_characters% (%up_to_2_artists%).jpg"
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* sample inside this torrent
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S_FSIZE - file size in bytes
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S_ISIZE - image size WIDTHxHEIGHT
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S_JQ - JPEG quality estimation (NOTE value 81 is equivalent cjpegli -q 96)
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* grabbed image
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G_DATE - posting date
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G_RATN - rating
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G_SCORE - popularity @ booru
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G_ISIZE - WIDTHxHEIGHT @ booru
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G_EXT - original extension
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G_FSIZE - bytes @ booru
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G_JQ - JPEG quality estimation just grabbed JPEGs
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G_FMD5 - MD5 @ booru or just grabbed
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* calculated by Image Magick
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TENTR - enthropy
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ENT_R - rank by enthropy
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TSKEW - skewness
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SKEW_R - rank by skewness
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TSTDDEV - standard deviation
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SDEV_R - rank by standard deviation
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TCOLORS - colors count
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COLR_R - rank by colors count
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MEANG - mean grey channel
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GREY_R - rank by mean grey
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MAXIMAG - maximum in grey channel
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BOUNDBOX - frame by ImageMagick
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BB_R - rank by frame-to-image size
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* advanced detection results
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TXSIZE - relative text-to-image size in percents
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TXS_R - rank by text/image size
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TXCNT - count of text pieces
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TXN_R - rank by count of text pieces
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YHEAD - heads count
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YHMAX - max head/image size
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YHAVG - average head/image size
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YH_R - rank by crowdeness
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* tags count by category
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TAGS_C - (copyright)
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TAGS_P - (character)
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TAGS_A - (artist)
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TAGS_G - (general)
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TAGS_X - (technical, others)
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BC_2024_tags.tsv - tags list enriched 49.041.220 rows
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booru + fid - imageboard name and ID, refer to BC_2024
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TAG - text tag
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TAG_ID - numeric tag as of DANBOORU
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TAG_CAT - tag category as of DANBOORU (3=copyright, 4=character, 1=artist, 0=general, 5=others)
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DANB_TAG - DANBOORU text tag
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* for CAT in (0,1,5) DANBOORU-synonym for TAG if != TAG
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* for CAT in (3,4) DANBOORU-franchise (generalised copyright series) for TAG if != TAG
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BC_2024_yolo.tsv - detailed data about torso components detections 4.431.887 rows
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booru + fid - imageboard name and ID, refer to BC_2024
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obj - object short name [for custom model](https://github.com/aperveyev/booru_yolo/tree/main/models)
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prob - detection probability
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x, y, w, h - bounbox in YOLO format (relative, centered)
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oid - object ID (some hash) unique within image
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oup - "upper" oid (head for bust and wing, bust for belly)
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odn - "down" oid (bust and wing for head, belly for bust)
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BC_2024_yolov11m_aa22.pt
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[Ultralitics YOLOv11](https://github.com/ultralytics/ultralytics) object detection model
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The whole evolved BOORU CHARS project consists of (in release order):
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- [BOORU_CHARS_2021](https://nyaa.si/view/1384820) 1.593.429 images 472 GB topic starter
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- [BOORU_CHARS_2015](https://nyaa.si/view/1468367) 463.873 images 148 GB old stuff
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- [BOORU_CHARS_2022](https://nyaa.si/view/1547662) 705.467 images 191 GB newcomers
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- [BOORU_CHARS_2023](https://nyaa.si/view/1740396) 1.153.513 images 302 GB FINAL for 1280/1024px
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