NSFWJS is a JavaScript library designed to help identify potentially inappropriate images on a client’s browser, without needing to send the image to a server. The library is powered by TensorFlowJS, which is an open-source machine learning library for JavaScript.
The library is trained to recognize particular patterns in the images, with the current accuracy rate at 93%. The library also incorporates CameraBlur Protection, which is a feature that blurs any images that it identifies as being potentially inappropriate. The library is constantly being improved and updated, with new models being released frequently.
NSFWJS is free to use, and can be modified and distributed under the MIT license. The library also includes a mobile demo, which allows users to test different images on their mobile devices. Finally, the library is available for download through GitHub, and users are encouraged to report any false positives or contribute to the development of the library.
More details about NSFW JS
What is NSFW JS?
NSFW JS is a JavaScript library that specializes in the identification of potentially obscene images on a client’s browser.
What AI technology does NSFW JS use?
NSFW JS uses TensorFlowJS, an open-source machine learning library for JavaScript.
How accurate is NSFW JS in recognizing inappropriate images?
The accuracy rate of NSFW JS in recognizing potentially inappropriate images is noted to be 93%.
What is the purpose of NSFW JS?
The purpose of NSFW JS is to detect and filter inappropriate content in images loaded in a client’s browser.
How does NSFW JS identify inappropriate images?
NSFW JS recognizes inappropriate images by using machine learning algorithms to detect specific patterns in these images.
