NSFWJS is a JavaScript library that detects inappropriate images on the client side using TensorFlowJS, offering a blur feature for identified content.

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Web developers building image-screening features can use NSFWJS to check images for potentially explicit content without sending them to a classification server. It runs a TensorFlow.js model on the client and returns likely categories with confidence scores: Drawing, Hentai, Neutral, Porn, and Sexy. The JavaScript library can classify image data and browser image, video, or canvas elements, making it useful for screening user uploads or media displayed in a web app. It’s intended as an automated aid rather than a definitive content judgment; results can be inaccurate, so it may not suit workflows that require guaranteed detection.

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