NSFWJS: Client-Side Image Moderation

NSFWJS is a powerful JavaScript library enabling on-device detection of potentially inappropriate images. Leveraging the capabilities of TensorFlowJS, it analyzes images directly within the user's browser, eliminating the need to transmit sensitive data to external servers. This ensures privacy and speed.

Features

• On-device processing: Analyzes images locally for enhanced privacy and reduced latency.
• High accuracy: Boasts a 93% accuracy rate in identifying inappropriate content.
• CameraBlur Protection: Automatically blurs images flagged as potentially NSFW.
• Regular updates: Constantly improved with frequent model releases, ensuring ongoing performance and accuracy.
• Open-source and MIT licensed: Free to use, modify, and distribute.
• Mobile demo available: Allows users to easily test the library on mobile devices.
• Community driven: Users can report false positives and contribute to the library's development.

Benefits

• Enhanced Privacy: No image data is sent to external servers.
• Improved Speed: On-device processing results in faster response times.
• Cost-effective: Free to use and open-source.
• Flexible and Customizable: Can be easily integrated into various applications.

Use Cases

• Content moderation for websites and apps: Automatically filter inappropriate images.
• Parental control tools: Protect children from exposure to harmful content.
• Social media platforms: Improve content moderation capabilities.
• Image processing applications: Add NSFW detection functionality.

NSFWJS provides a robust and efficient solution for client-side image moderation, prioritizing privacy, speed, and accuracy.