The AI Reports

NSFW JS

What is NSFW JS?

NSFW JS is a JavaScript library designed to detect inappropriate content in images within a web browser using TensorFlow.js. It operates client-side, providing a privacy-focused solution for content moderation. Key attributes include drag-and-drop functionality, accuracy improvements over time, and camera blur protection.

This tool caters to developers seeking to integrate NSFW (Not Safe For Work) content detection in their applications. By leveraging machine learning models, it classifies images into different explicit categories while maintaining the privacy of the user’s data.

Ease of implementation is a significant advantage, as NSFW JS can be quickly incorporated into existing web and mobile apps to filter out unwanted content without the need for external server calls or data handling.

NSFW JS use cases

  1. A website using NSFW JS to automatically moderate user-uploaded images.
  2. Developers implementing the tool to prevent the display of sensitive content in a user-generated content platform.
  3. A social media app incorporating NSFW JS to provide warnings before displaying potentially inappropriate images.
  4. An online marketplace using the library to ensure product images adhere to community guidelines.

NSFW JS functionalities

  • Classify: Quickly categorize content
  • Privacy: Client-side ensures user data safety
  • Camera Protection: Secures against accidental exposure
  • Drag-and-Drop: Ease of use with simple image uploads

Pros and Cons

Pros

  • Client-side operation for privacy
  • Simple integration into web apps
  • Accurate content categorization
  • Continuous model improvement

Cons

  • Possible false positives
  • Only available for web and mobile apps
  • Local resources required for operation
  • No direct support for video content

NSFW JS pricing

No pricing is available

NSFW JS reviews

4

Based on 1 reviews online

Exploring the feedback on NSFW JS, there’s a clear appreciation for its capability to handle a wide spectrum of images. This suggests it’s quite flexible for general use, a plus for anyone considering it for diverse content filtering. However, it’s not without its hiccups. Some users have noted challenges with it recognizing and processing artwork in the furry genre or anything that deviates significantly from more conventional images. This indicates potential limitations in its algorithm’s ability to adapt to unique or niche content areas. Among the mix, there’s also a review that deviates entirely from providing useful insights, focusing instead on unrelated and inappropriate commentary. Such contributions aren’t constructive for those wanting to gauge the service’s effectiveness or reliability.

The verdict? It’s a mixed review for NSFW JS. While it shows promise with its ability to work across a broad array of images, its struggles with more specific, unconventional content could be a dealbreaker for some. And while irrelevant feedback muddies the water, the consensus leans towards NSFW JS being more hit than miss, but with room for improvement.

User reviews

There are no reviews yet. Be the first one to write one.

NSFW JS FAQ

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About the author

M. Kooiker

M. Kooiker

As an experienced online marketeer with a longstanding interest in AI, I've immersed myself in the latest AI advancements in recent years. Passionate about innovation, I actively test AI tools and dedicate myself to guiding users in selecting the right technology. My mission is to connect people with cutting-edge AI solutions.