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NSFW JS
Inputs:
Outputs:
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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Releases
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February 20, 2019
Initial release of NSFW JS.
Pricing
Pricing model
Free
Paid options from
Free
Prompts & Results
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NSFW JS was manually vetted by our editorial team and was first featured on December 21st 2022.
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12,65397v2.1 released 2mo agoFree + from $45/mo
This is the first AI marketing tool I’ve used that actually helps me get things done, not just suggest generic ideas. The mix of AI-powered strategy and real experts executing the work makes it feel like having a high-performance marketing team without the overhead -
29,012396v1.0 released 11mo agoFree + from $35/mo
This team took the time to understand the industry, problem and its users and designed a perfectly engineered solution. Kudos.
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
Included in lists
2 public lists
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.
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