Detect objects in an image
ComputerVisionProject week5
🚀 ML Playground Dashboard An interactive Gradio app with mu
Check images for adult content
Detect objects in images using YOLO
Tag and analyze images for NSFW content and characters
Find explicit or adult content in images
Check images for nsfw content
Check if an image contains adult content
Identify inappropriate images
Detect objects in an image
Search for images using text or image queries
Detect objects in images using 🤗 Transformers.js
Transformers.js is a JavaScript library designed to detect harmful or offensive content in images. It leverages advanced AI models to analyze images and identify potentially problematic content, making it a valuable tool for moderating and filtering visual media.
• Object Detection: Identify objects within images to detect harmful or offensive content. • Real-Time Processing: Process images quickly for immediate content moderation. • High Accuracy: Utilizes state-of-the-art models for precise detection. • Customizable Thresholds: Adjust sensitivity to suit specific needs. • Support for Multiple Formats: Works with various image formats like JPEG, PNG, and GIF. • Easy Integration: Simple API for seamless integration into web applications. • Offline Capabilities: Can function offline for privacy and efficiency.
npm install transformers.js
const Transformers = require('transformers.js');
const detector = new Transformers.Detector();
const img = new Image();
img.src = 'path/to/your/image.jpg';
detector.detect(img).then(result => {
// Handle results
});
if (result.score > 0.5) {
console.log('Potentially harmful content detected');
}
What image formats are supported?
Transformers.js supports most common image formats, including JPEG, PNG, GIF, and more.
Can I customize detection thresholds?
Yes, you can adjust sensitivity by setting custom thresholds to suit your moderation needs.
How accurate is the detection?
Transformers.js uses advanced AI models, providing high accuracy for detecting harmful content, though results may vary based on image quality and complexity.