One more **volume V2022C for interval 05.2022-08.2022** in series of composite safebooru-based rips [01.2022 - 05.2022](https://nyaa.iss.one/view/1539363) volume V2022B double-size [11.2021 - 01.2022](https://nyaa.iss.one/view/1486179) volume V2022A [08.2021 - 11.2021](https://nyaa.iss.one/view/1462329) volume V2021D [06.2021 - 08.2021](https://nyaa.iss.one/view/1452049) volume V2021C [03.2021 - 06.2021](https://nyaa.iss.one/view/1409571) volume V2021B [12.2020 - 03.2021](https://nyaa.iss.one/view/1376135) volume V2021A [09.2020 - 12.2020](https://nyaa.iss.one/view/1340980) volume V2020D [06.2020 - 09.2020](https://nyaa.iss.one/view/1291697) volume V2020C [02.2020 - 05.2020](https://nyaa.iss.one/view/1265063) volume V2020B [08.2019 - 01.2020](https://nyaa.iss.one/view/1227047) volume V2020A [11.2018 - 08.2019](https://nyaa.iss.one/view/1202653) volume V2019 aimed to feed **BOORU-CHARS OPEN DATASET [2021](https://nyaa.iss.one/view/1384820) and [2022](https://nyaa.iss.one/view/1547662)** and later **This rips not intended to be "complete and maximum quality" but rather "representative the best of" to help users not to loose interesting fandom, artist or even single prominent picture and get all stuff with several clicks. Another reason to build this megalythe is neural network training over art images. There are [promising results](https://github.com/aperveyev/booru_yolo), stay tuned.** Sources used (_priorities high to low when deduplicating_): * safebooru.org (ID 40xxxxx) **letter S** in archive/folder name * yande.re (_with some questionable images in separate Q-folders_) **letter Y** * danbooru.donmai.us (a little bit NSFW in Q) **D** became a replacement for gelbooru * gelbooru.com (a little bit NSFW in Q) **G** got some problems to grab it, discontinue * zerochan.net **Z** **159.971** images sorted and zipped according aspect ratio (dimensions 2 folders) _priorities high to low_ : - **53495** "artbook pages" **7x10 (+/- 4%)** - **24198** “wide pages” **3x4 (+/- 10%)** - **24731** “squares” **1x1 (+/- 20%)** - **28435** “wallpapers and computer screens” **3x2 (+/- 40%)** - **29115** "high pages" **2x3 (+/- 40%)** folder name contains 1x2 and also for _**source**_ and (sometimes) _**ID range**_, mentioned in _**folder/archive name**_. You can browse pictures directly in archives with FastStone MaxView of something like it. File names structure : **%website% - %id% - %up_to_3_copyrights% ~ %up_to_5_characters% (%up_to_2_artists%).%ext%** where - %copyright% , %character% and %artist% may be used as filter for search on source booru - %website% + %id% is unique and also may be used to get direct booru url so you can extract subsets of interest with xcopy (from already unzipped images) or unzipping (from release on the fly) e.g. ``` for %%F in ("d:\Safebooru 2022b\*.zip") do 7z x -r -o"e:\sortarea\" "%%F" *spy*family* xcopy /s d:\Safebooru 2022b\*spy*family* e:\sortarea ``` **Transformations and filters:** - initially filtered Mpixels >= 1.2, width >= 900, height >= 900 - PNG converted to JPG (quality 94%), no animations - downsize to 60MPix and/or maxsize 9000 px, stripes dropped or adjusted to aspect ratio 0.4 .. 2.1 - manually (yep, plenty of ~~hand~~job behind this release) - comic and 4koma, segmented scans and overtexted covers filtered out - real-life photos, no-character landscapes, most of line-arts and primitive chibi thrown away - too explicit images (uncensored nipples or vulva, obvious adult actions etc) excluded from "questionable" downloads - crops done when large simple or dirty background, most artbooks de-bordered - occationally gamma correction, denoise and other nontrivial improvements made - carefully deduplicatied (with AntiDupl NET up to 4% similarity) along with several past releases Some meta-information included in tab delimited files : - **V2022C_files.TSV** post info (size, resolution, MD5 etc) with concatenated copyrights / characters / artists tags (Excel capable) - **V2022C_tags.TSV** all tags (incl. general and meta) one tag per line (0.000.000 rows, not fit into Excel) Using some database you can play with SQL and xcopy (from already unzipped images, copypasting query result) anything you want, e.g. ``` select 'xcopy "d:\'||torr_path||'\'||file_name||'" e:\sortarea ' xc from files f join tags t on t.booru=f.booru and t.fid=f.fid where t.tag like '%anya%face%' -- another meme tag ```