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