NSFW JS para Web Apps

NSFW JS is a JavaScript library designed to identify and filter potentially inappropriate images in real-time on the client side. Utilizing TensorFlowJS, this tool achieves a remarkable accuracy rate of 93% for recognizing specific image patterns, making it a reliable option for developers looking to implement image filtering in their applications. It features CameraBlur Protection, which automatically blurs any flagged images, thus enhancing user experience and safety. Regular updates ensure that the library remains effective with the latest models and improvements, all while being offered under the MIT license.

With a compact size of 4.2MB, NSFW JS is easy to integrate into web applications, allowing for efficient content filtering and image evaluation without needing server-side processing. The library supports mobile testing through a demo version, making it accessible for various use cases, including mobile applications. Furthermore, the open-source nature encourages community contributions, promoting ongoing development and enhancement of the library.