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NSFW JS
- Last updated: 9 Jun 2024
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
- A website using NSFW JS to automatically moderate user-uploaded images.
- Developers implementing the tool to prevent the display of sensitive content in a user-generated content platform.
- A social media app incorporating NSFW JS to provide warnings before displaying potentially inappropriate images.
- 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
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
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NSFW JS FAQ
What is NSFW JS primarily used for?
NSFW JS is used for detecting inappropriate content in images on the client-side, without the data having to leave the user’s browser.
What types of content can NSFW JS classify?
It classifies images into categories such as drawing, hentai, neutral, porn, and sexy based on the content’s explicitness.
How does NSFW JS ensure user privacy?
It operates entirely client-side, meaning the moderated content does not need to be sent to a server for processing.
Is there a mobile version available?
Yes, NSFW JS can also be implemented in React Native applications.
Can NSFW JS be used for real-time content filtering?
The library includes features like camera blur protection allowing some real-time applications, but it is primarily designed for image classification.
What are some common scenarios for using NSFW JS?
It can be used in platforms that allow user-generated content to preemptively filter images before they are uploaded or displayed.
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About the author
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.