NSFW JS - NSFW image detection - TAAFT

✓ verified, sync 2026-08-20

11 checks on record, most recent 2026-11-02 (responded).

Community scorenot yet rated

First indexed2026-08-20

Observation record.

What was checked ourselves, with dates. Not vendor copy, not a rating.

Most recent check 2026-11-02

Result: responded.

Checked on 11 distinct dates, since 2026-08-25. Checked roughly every 6.9 nights on this listing's own record.

2026-11-022026-10-272026-10-212026-10-152026-10-092026-10-032026-09-272026-09-212026-09-152026-09-032026-08-25

What this means: the 3-miss rule marks a listing discontinued only after three consecutive failed checks; a bot-wall response never counts toward that streak. the methodology

Price events.

auto-diffed on every sync: the changelog other directories don't keep

The price was checked on 2026-08-25 and no change was observed since.

No approved price events on record

No approved price change is on record.

What it does.

The vendor's own description, unedited, not our claim.

NSFWJS is a JavaScript library designed to help identify potentially inappropriate images on a client's browser, without needing to send the image to a server. The library is powered by TensorFlowJS, which is an open-source machine learning library for JavaScript. The library is trained to recognize particular patterns in the images, with the current accuracy rate at 93%. The library also incorporates CameraBlur Protection, which is a feature that blurs any images that it identifies as being potentially inappropriate. The library is constantly being improved and updated, with new models being released frequently. NSFWJS is free to use, and can be modified and distributed under the MIT license. The library also includes a mobile demo, which allows users to test different images on their mobile devices. Finally, the library is available for download through GitHub, and users are encouraged to report any false positives or contribute to the development of the library.

registry ID ndock:tool:nsfw-js-nsfw-image-detection-taaft