NSFW JS

NSFWJS is an innovative JavaScript library aimed at enhancing user privacy and content moderation. Leveraging the power of TensorFlowJS, this library provides a robust solution for identifying potentially inappropriate images directly on the client’s browser, eliminating the need for image data to be sent to a server. This approach not only respects user privacy but also significantly reduces the load on server resources.

Main Features

1. TensorFlowJS Integration: NSFWJS utilizes TensorFlowJS, an open-source machine learning library for JavaScript. This integration allows for efficient and accurate image recognition directly within the browser.

2. High Accuracy Rate: The library is trained to recognize specific patterns in images, boasting an impressive accuracy rate of 93%. This high accuracy ensures reliable content moderation.

3. CameraBlur Protection: A standout feature of NSFWJS is its CameraBlur Protection, which automatically blurs images identified as potentially inappropriate. This feature adds an extra layer of discretion and sensitivity to content display.

4. Continuous Improvement and Updates: NSFWJS is continually evolving with frequent updates and new model releases. This commitment to improvement ensures that the library stays up-to-date with the latest advancements in image recognition technology.

5. Open Source and MIT License: NSFWJS is freely available for use, modification, and distribution under the MIT license. This openness encourages community contribution and customization.