Danboiru

This will install Docker Compose and use it to start Danbooru, danboiru.

Here are some examples of different tags:. Here you can upload images and view the list of predicted tags. Generate a list of tags in CSV format, suitable for importing into your own Danbooru instance:. The current model is stock Resnet, pretrained on Imagenet then finetuned on Danbooru for about 10 epochs. The model is trained on about tags. Ratings are also included.

Danboiru

Danbooru is a large-scale anime image database with 4. Danbooru AI. Deep learning for computer revision relies on large annotated datasets. The best known booru, with a focus on quality, is Danbooru. Total: 4. Image boorus like Danbooru are image hosting websites developed by the anime community for collaborative tagging. Danbooru in particular is old, large, well-tagged, and its operators have always supported uses beyond regular browsing—providing an API and even a database export. With their permission, I have periodically created static snapshots of Danbooru oriented towards ML use patterns. MD5 hash. Image boorus typically support advanced Boolean searches on multiple attributes simultaneously, which in conjunction with the rich tagging, can allow users to discover extremely specific sets of images. Danbooru was available for download via public rsync server.

See also. Skip to content, danboiru. Latest commit History 28 Commits.

Danbooru is an English-based image board website specializing in erotic manga fan art. The website Danbooru is shrouded in mystery. Not a whole lot is known about who created it and when its exact launch date occurred. Internet archives establish though reports date it to before a wipe and reboot of the site. What is also agreed upon is that much of the artwork users share on Danbooru is erotic fan or self-published art, called doujinshi in Japanese manga and anime culture. Several spinoff booru galleries have emerged, including Safebooru , another image-based site without the sexually explicit nature of the original. Danbooru is the domain for fans of various manga and anime who seek a sexy, even raunchy twist on their favorite characters and franchises.

An artist in Danbooru represents the person who created a piece of art. Danbooru's artist database tracks extra information about artists, including the websites they use and alternate names they're known under. For starters, artist entries list all websites or artist profiles that are associated with the artist. Danbooru uses these URLs to automatically identify the artist tag for new uploads, so it's very important to include this information. Artists can also have multiple "othes" names associated with them. Typically this includes the artist's Japanese name. Notes allow one to list other extraneous details. Artist entries are also used to organize artists that are part of doujin cirles. A circle is represented as an artist entry that has multiple group members.

Danboiru

This will install Docker Compose and use it to start Danbooru. If you get any errors, check docker compose version and make sure you're running at least Docker Compose v2. See the Docker Guide for more information on running Danbooru using Docker. This is the recommended way to run Danbooru. Manual installation is much more difficult than using Docker, and therefore is not recommended or officially supported. For help, ask in the technical channel on the Danbooru Discord , or in the discussions area on Github. Danboou depends on a couple of cloud services and several microservices to implement certain features.

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Anime images and illustrations, on the other hand, as compared to photographs, differ in many ways—for example, illustrations are frequently black-and-white rather than color, line art rather than photographs, and even color illustrations tend to rely far less on textures and far more on lines with textures omitted or filled in with standard repetitive patterns , working on a higher level of abstraction—a leopard would not be as trivially recognized by simple pattern-matching on yellow and black dots—with irrelevant details that a discriminator might cheaply classify based on typically suppressed in favor of global gestalt, and often heavily stylized eg. Jun 21, Report repository. Danbooru is a large-scale anime image database with 4. However, the lack of datasets with diversity descriptions of images limits the performance of text-to-image synthesis on multi-categories dataset like MS COCO [4]. It is an open issue of text-to-image mapping that the distribution of images conditioned on a sentence is highly multi-modal. A full dataset is of immediate value to the Danbooru community as an archival snapshot of Danbooru which can be downloaded in lieu of hammering the main site and downloading terabytes of data; backups are occasionally requested on the Danbooru forum but the need is currently not met. Ratings are also included. Danbooru in particular is old, large, well-tagged, and its operators have always supported uses beyond regular browsing—providing an API and even a database export. Likewise, the difficulty face detectors encounter on anime images suggests that other detectors like nudity or pornographic detectors may fail; but surely moderation tasks require detection of penises, whether they are drawn or photographed? IQDB Service.

Danbooru [dahn-boh-ruh] noun : 1. A taggable imageboard, with sophisticated features for keeping, organizing and finding pictures. Japanese Corrugated cardboard box.

Waifu Diffusion 5. IQDB Service. Last commit date. How high quality is the Danbooru metadata quality? We also provide two supplementary datasets: a test set of independent drawings and an additional face dataset for nine minor characters. Since there will probably be thousands of errors, one would go through them by magnitude of error: for a false positive, start with tagging probabilities of 1. Danbooru Figures dataset k single-character images cropped to the character figure using AniSeg. You signed in with another tab or window. About Danbooru automatic image classifier Resources Readme. Danbooru is the domain for fans of various manga and anime who seek a sexy, even raunchy twist on their favorite characters and franchises. As well, the datasets are static, not accepting any additions, better metadata, or corrections. Reload to refresh your session. License View license. Latest commit. Diva Engineering Stylegan prototype, stylegan-waifu-generator.