NSFW JS

Content filtering for images.

NSFWJS is a powerful JavaScript library designed to help protect users from viewing potentially inappropriate images on their browsers. It uses machine learning technology and is powered by TensorFlowJS, an open-source library for JavaScript. The current accuracy rate of the library is 93%, and it also utilizes CameraBlur Protection to blur out any images that are deemed potentially offensive. Additionally, NSFWJS can be downloaded free of charge from GitHub, and users are welcome to report false positives or contribute to its development.

The library is constantly being improved with new models released on a regular basis. Furthermore, there is a mobile demo available for users to test images on their devices. Not only does this provide better protection against unwanted content, but it gives users more control over what they view online.

Overall, NSFWJS offers an efficient way for developers and end-users alike to protect themselves from potentially inappropriate imagery. It is easy to use, free to download, and constantly updated with new features and models. With its robust features such as CameraBlur Protection and user contributions through GitHub, NSFWJS provides an effective solution in keeping web content safe for all audiences.

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