NSFWJS: A JavaScript Library for Image Filtering
NSFWJS is a powerful JavaScript library that helps detect potentially inappropriate images directly on the client’s browser, eliminating the need to send sensitive content to a server. 🖼️💻
Powered by TensorFlowJS, an open-source machine learning library, NSFWJS can accurately identify patterns in images, with an impressive 93% accuracy rate. 🕵️♂️✅
To further protect users, NSFWJS includes CameraBlur Protection, which automatically blurs images identified as potentially explicit. This ensures a safe browsing experience. 🔒📷🔞
Regularly updated and enhanced, NSFWJS releases new models frequently, maintaining its reliability and effectiveness. Additionally, it offers a mobile demo for users to test image filtering on their phones. 📱📈
With an MIT license, NSFWJS is free for modification and distribution. Its GitHub repository encourages users to contribute and report any false positives, promoting a collaborative development. 💪💻🔧
Take control of image filtering with NSFWJS – easy to use, powerful, and privacy-focused. Download it now! 🚀✨
– Detect and filter potentially inappropriate images on the client-side
– Powered by TensorFlowJS with a 93% accuracy rate
– Includes CameraBlur Protection for added privacy
– Constantly updated with new models
– Free to use, modify, and distribute under the MIT license
– Mobile demo available for testing on phones.
