NSFW JS
NSFW JS: AI-Powered Image Moderation Tool for JavaScript
Product Information of NSFW JS
What’s NSFW JS?
NSFW JS is a JavaScript library powered by TensorFlowJS that identifies potentially inappropriate images directly in the client’s browser. It uses advanced machine learning algorithms to analyze image patterns and determine their suitability, offering a high accuracy rate of 93%. This tool ensures privacy and efficiency by performing image analysis locally without the need to upload images to a server.
How to use NSFW JS?
NSFW JS prioritizes user privacy and efficient content moderation:
- Integration: Developers integrate NSFW JS into their web applications.
- Client-Side Image Processing: When an image is loaded on the webpage, NSFW JS analyzes it directly within the user’s browser using TensorFlow.js, a powerful machine learning library for JavaScript.
- Privacy Preserved: The image data never leaves the user’s device, safeguarding user privacy.
- Content Filtering: Based on its analysis, NSFW JS flags potentially inappropriate images with a high accuracy rate of 93%.
- Actionable Insights: Developers can leverage this information to implement content filtering mechanisms within their applications.
Core Features of NSFW JS
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Client-Side Image Detection: Identifies potentially inappropriate images directly on the user’s device, protecting user privacy.
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High Accuracy Rate: Boasts a 93% accuracy rate in detecting inappropriate content.
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Powered by TensorFlow.js: Utilizes the robust capabilities of TensorFlow.js for efficient and accurate image analysis within the browser.
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Mobile Demo: Includes a demo for testing images on mobile devices.
Use Cases of NSFW JS
FAQ of NSFW JS
- How secure is my data with NSFW JS? NSFW JS processes images locally in the client’s browser, ensuring high data security and privacy.
- Can I customize the NSFW JS library? Yes, NSFW JS is open-source and can be modified and distributed under the MIT license.
- Does NSFW JS support multiple languages? The library itself is language-agnostic, but usage documentation is primarily in English.
- Is there a mobile demo available? Yes, NSFW JS includes a mobile demo for testing images on mobile devices.
- How accurate is NSFW JS in detecting inappropriate images? NSFW JS has an accuracy rate of 93% in detecting inappropriate images.
- What is TensorFlowJS? TensorFlowJS is an open-source machine learning library for JavaScript used to power NSFW JS.
- How do I include NSFW JS in my project? You can include NSFW JS in your project by downloading it from GitHub and adding it to your JavaScript files.
- What type of inappropriate images can NSFW JS detect? NSFW JS is trained to recognize patterns typical of inappropriate or explicit content.
- Is there a community or support forum for NSFW JS? Yes, you can find community support and discussions on the GitHub repository and related forums.
