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December 21, 2022
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Inputs:
Image
Outputs:
Image
Identify NSFW images in the browser
By unverified author Claim this AI

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.

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Pricing

Pricing model
Free
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Reviews

2.8
Average from 42 ratings.
11
7
6
0
18
Comments(2)
Please forward any material NSFWJS finds directly to me! This kind of thing is not to be trifled with!
Rated it
Works with most images, but struggles with furry artwork and other unusual stuff.

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NSFW JS was manually vetted by our editorial team and was first featured on December 21st 2022.

Pros and Cons

Pros

Client-side Image detection
Powered by TensorFlowJS
93% Accuracy rate
Includes CameraBlur Protection
Constant updates and improvement
Free to use
Open-source (MIT License)
Mobile demo included
Available on GitHub
Community contribution encouraged
NSFW Patterns recognition
Content filtering for images
Allows reporting false positives
Lightweight (4.2MB)
In-browser image evaluation
Doesn't require server interaction
Modifiable for user needs
Reduced privacy risks
Avoids image data transmission
Consistently learning and adapting

View 15 more pros

Cons

Dependent on TensorFlowJS
No server-side processing
93% Accuracy (false positives)
Potential privacy issues with CameraBlur
Regular updates required
Only Javascript implementation
Limited cross-platform usage
No real-time detection
Reliant on pattern recognition
Limited user support

View 5 more cons

Q&A

What is NSFW JS?
What is the purpose of NSFW JS?
How does NSFW JS identify inappropriate images?
What AI technology does NSFW JS use?
How accurate is NSFW JS in recognizing inappropriate images?
What is the CameraBlur Protection feature in NSFW JS?
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