Upload images to detect objects
Identify objects in images
Detect objects in images
Upload image to detect objects
Run object detection on videos
Detect objects in images using Transformers.js
Identify the main objects in an image
Identify objects in images
Detect objects in an image
Analyze images and videos to detect objects
State-of-the-art Zero-shot Object Detection
Detect objects in images and videos
RC Race Vision YOLO11 Gradio Application for Testing
Transformers.js is a JavaScript library designed for object detection tasks. It allows developers to easily upload images and detect objects within them using pre-trained models. The library simplifies the integration of object detection capabilities into web applications, making it accessible for developers to build robust computer vision solutions.
• Multiple Model Support: Transformers.js supports a variety of pre-trained models for object detection, allowing developers to choose the best model for their use case.
• Real-Time Detection: The library enables real-time object detection, making it suitable for applications that require immediate results.
• Easy Integration: Transformers.js provides a simple API that makes it easy to integrate object detection into web applications.
• Customizable: Developers can fine-tune models and adjust parameters to suit their specific needs.
• Image Format Support: The library supports multiple image formats, including JPG, PNG, and more.
• Cross-Browser Compatibility: Transformers.js works seamlessly across modern web browsers.
npm install transformers.js.import Transformers from 'transformers.js';.const model = await Transformers.loadModel('model-name');
const predictions = await model.detect_objects(image);
What models are supported by Transformers.js?
Transformers.js supports a variety of pre-trained object detection models, including popular ones like YOLO, SSD MobileNet, and Faster R-CNN.
Can I use Transformers.js with frameworks like React or Vue?
Yes, Transformers.js is compatible with popular JavaScript frameworks like React, Vue, and Angular, making it versatile for different project setups.
How large can the input images be?
The library supports images up to a certain size, depending on the model's capabilities, but very large images may require additional processing for optimal performance.