15,325
NSFW image detection
2019-02-20
Content filtering for images.
Overview
NSFW image detection#2 most recent
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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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Comments(2)
Unbeaning
🙏 1 karma
Nov 27, 2023
Works with most images, but struggles with furry artwork and other unusual stuff.
Mohit Vishwakarma
Jul 20, 2023
Cute girl big ass and boobs
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NSFW JS was manually vetted by our editorial team and was first featured on December 21st 2022.
1 alternative to NSFW JS for NSFW image detection
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
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
Q&A
What is NSFW JS?
NSFW JS is a JavaScript library that specializes in the identification of potentially obscene images on a client's browser.
What is the purpose of NSFW JS?
The purpose of NSFW JS is to detect and filter inappropriate content in images loaded in a client's browser.
How does NSFW JS identify inappropriate images?
NSFW JS recognizes inappropriate images by using machine learning algorithms to detect specific patterns in these images.
What AI technology does NSFW JS use?
NSFW JS uses TensorFlowJS, an open-source machine learning library for JavaScript.
How accurate is NSFW JS in recognizing inappropriate images?
The accuracy rate of NSFW JS in recognizing potentially inappropriate images is noted to be 93%.
What is the CameraBlur Protection feature in NSFW JS?
The CameraBlur Protection feature in NSFW JS blurs any images it identifies as potentially inappropriate.
Is NSFW JS constantly updated and improved?
Yes, NSFW JS is continually updated and improved with new models being released frequently.
Can NSFW JS be used for free?
Yes, NSFW JS can be utilized for free.
Under which license is NSFW JS distributed?
NSFW JS is distributed under the MIT license which allows for modification and distribution of the software.
Does NSFW JS include a mobile demo?
Yes, NSFW JS includes a mobile demo which allows users to test different images on their mobile devices.
How can I contribute to NSFW JS development?
Anyone can contribute to the development of NSFW JS by reporting false positives or directly contributing via the project's GitHub repository.
Where can I download NSFW JS?
NSFW JS can be downloaded from its GitHub repository.
How can I report false positives in NSFW JS?
False positives in NSFW JS can be reported through the project's GitHub page.
Is NSFW JS able to function without sending images to a server?
Yes, NSFW JS is designed to work on the client's browser, detecting inappropriate images without the need to send the images to a server.
What kind of patterns is NSFW JS trained to recognize?
Without specifically detailed information, it can be inferred that NSFW JS is trained to recognize patterns in images that are typically associated with inappropriate or explicit content.
Where can I access the NSFWJS model repository?
The NSFWJS model repository can be accessed via its specific GitHub page.
How large is the NSFWJS model file?
The NSFWJS model file size is 4.2MB.
Can I use NSFW JS if JavaScript is not enabled?
JavaScript has to be enabled for NSFW JS to function as it is a JavaScript library.
Does NSFWJS have a mobile app for testing images?
NSFWJS doesn't have a direct mobile app, but offers a mobile demo that allows you to test images from mobile devices.
Where can I find more information about NSFW JS?
More information about NSFW JS can be found on its official page, Github repository, model repository, or through associated blog posts linked on its webpage.
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