Detect objects in images using π€ Transformers.js
Detect objects in random images
Detect objects in your images
Detect objects in images and return coordinates
Track objects in live stream or uploaded videos
Identify objects in images
Detect objects in anime images
Upload an image to detect objects
Identify the main objects in an image
Identify objects in images and generate detailed data
Identify objects in an image with bounding boxes
Identify labels in an image with a score threshold
Detect objects in anime images
Transformers.js is a JavaScript library optimized for object detection tasks. It allows developers to integrate state-of-the-art models into web applications with ease. Built on top of the popular Hugging Face Transformers library, it is designed to work seamlessly in modern web browsers. Transformers.js supports models like YOLO, Faster R-CNN, and DETR for accurate image analysis. Its lightweight architecture makes it ideal for real-time object detection in web applications.
β’ Pre-trained Models: Access a wide range of pre-trained object detection models optimized for various use cases. β’ Browser Compatibility: Works directly in web browsers without requiring additional setup or backend processing. β’ Framework Agnostic: Easily integrate with popular JavaScript frameworks like React, Vue, or Angular. β’ Real-Time Detection: Perform object detection on video streams or images in real-time. β’ Customizable Models: Extend or fine-tune models to suit specific application requirements. β’ Visualization Tools: Built-in utilities for displaying detection results, including bounding boxes and labels.
<script src="https://cdn.jsdelivr.net/npm/@huggingface/transformers@main/dist/transformers.umd.js"></script>
const { AutoFeatureExtractor, AutoModelForObjectDetection, pipeline } = window.transformers;
const model = await AutoModelForObjectDetection.fromPreTrained('facebook/w stairζεΆ/facer');
const image = document.getElementById('image');
const inputs = await AutoFeatureExtractor.fromPreTrained('facebook/w stairζεΆ/facer').extract(image);
const outputs = await model.predict(inputs);
const results = await pipeline(objectDetection, model, image);
1. How do I use Transformers.js if I don't have Node.js installed?
You can include Transformers.js directly in your HTML file using a CDN link. No Node.js installation is required for browser-based usage.
2. Is Transformers.js compatible with all modern web browsers?
Transformers.js supports most modern web browsers, including Chrome, Firefox, Safari, and Edge. However, performance may vary depending on the browser's JavaScript engine capabilities.
3. Can I use Transformers.js for real-time video analysis?
Yes, Transformers.js supports real-time object detection on video streams. Use the video element and process frames sequentially for continuous detection.