Dannooru

Danbooru is a large-scale anime image database with 4. Danbooru AI. Deep learning for computer revision relies on large annotated dannooru. The best known booru, with a focus on quality, is Danbooru, dannooru.

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.

Dannooru

When it's done, you'll have a new Danbooru instance with a full development environment running in your browser. This way you can try out Danbooru without installing anything on your computer. See the Codespaces section in the Docker Guide to learn more. This will install Docker Compose and start Danbooru. 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. In order to access pool and post histories you will need to install and configure the Archives service. The following features are delegated to the Reportbooru service :. Post recommendations require the Recommender service. Skip to content. You signed in with another tab or window.

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Danbooru site domain: danbooru. According to the offical Danbooru Facebook page [3] , the site launched on May 25th, The earliest archived snapshot of the site [2] was taken on February 15th, , boasting 23, images uploaded at the time. Danbooru reached its ,th upload on January 19th, , followed by the milestone of one million uploads on September 20th, As of March , the site hosts more than 1.

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Dannooru

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. In order to access pool and post histories you will need to install and configure the Archives service. The following features are delegated to the Reportbooru service :. Post recommendations require the Recommender service.

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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? The following features are delegated to the Reportbooru service :. Using Docker. Dismiss alert. This will install Docker Compose and start Danbooru. It is, at least, more interesting than photos of street signs or storefronts. Packages 1. The reason for the bucketing is that a single directory would cause pathological filesystem performance, and modulo ID is a simple hash which spreads images evenly without requiring additional future directories to be made or a filesystem IO to check where the file is. The best known booru, with a focus on quality, is Danbooru. My favorite site. We introduce the GochiUsa Faces dataset, building a dataset of almost 40k pictures of faces from nine characters. Humans can still easily perceive a black-white line drawing of a leopard as being a leopard—but can a standard ImageNet classifier? Deep learning for computer revision relies on large annotated datasets. Other well-known boorus that specialize in adult-content include Rule

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WebVision Li et al a ; Li et al b ; Guo et al : 2. I would say that the Danbooru tag data is quite high but imbalanced: almost all tags on images are correct, but the absence of a tag is often wrong—that is, many tags are missing on Danbooru there are so many possible tags that no user could know them all. They do compare training on equally large datasets with small vs large number of categories , but fine vs coarse-grained categories is not directly comparable to a fixed number of images with less or more tags on each image. As Dong et al note:. Wilber et al : 65m raw images, k? While the Danbooru community does focus heavily on female anime characters, they are placed in a wide variety of circumstances with numerous surrounding tagged objects or actions, and the sheer size implies that many more miscellaneous images will be included. ImageNet: dog breeds memorably brought out by DeepDream. This is an ongoing project that aims to solve a simple but tedious procedure: remove texts from an image. Branches Tags. My favorite site. Jun 21, Danbooru is a large-scale anime image database with 4. Sweet Baby Inc Controversy. With Docker: cat image. The following features are delegated to the Reportbooru service :.