NSFW JS

NSFW JS

NSFW JS is a JavaScript library that helps detect potentially inappropriate images on a client's browser without sending the image to an external server. This library can be deployed by website administrators who want to protect their users from potentially harmful or explicit content. NSFW JS works by leveraging TensorFlowJS's open-source machine learning library specifically designed for JavaScript. The library is trained to recognize particular patterns in the images, and the current model boasts an accuracy rate of 93%. One of the significant features of NSFW JS is its CameraBlur Protection, which ensures any image identified as potentially inappropriate is blurred. This feature prevents users from viewing sensitive images, protecting them from unsafe content. The library is regularly updated and continuously improved with frequent model releases. Website administrators can use NSFW JS without any charge, and they can modify and distribute it using the MIT license. Mobile devices can also use NSFW JS as it includes a mobile demo. This feature allows website administrators to check the efficiency of the library using their mobile gadgets. The mobile demo feature makes NSFW JS easily accessible and user-friendly. Users can detect potentially inappropriate images on any device, whether mobile or desktop. The library is available for download through GitHub, offering website administrators the flexibility to implement or whitelist NSFW JS effectively. Users are encouraged to contribute to the development of the library and report any false positives. Consequently, it leads to the library's continued improvement, ensuring users have enhanced security while browsing the internet. In essence, the NSFW JS further enhances online security. The library identifies potentially harmful and explicit content in images, which helps protect internet users from viewing inappropriate material. With the incorporation of the TensorFlowJS machine learning library, NSFW JS achieves a 93% accuracy rate, ensuring its effectiveness. Its mobile demo feature also makes it easy for website administrators to test different images on their mobile devices. The library's availability on GitHub allows for modification and distribution under the MIT license. Overall, the NSFW JS library offers added online security, making web browsing more secure and safer for everyone.

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