Identify objects in images with Transformers.js
Identify objects in images using URLs or uploads
Identify segments in an image using a Detectron2 model
Detect objects in random images
Stream webcam video and detect objects in real-time
Upload images/videos to detect wildfires and smoke
Detect objects in images using YOLOv5
Identify objects in images
Detect objects in anime images
Detect objects in images
Identify objects and poses in images
RC Race Vision YOLO11 Gradio Application for Testing
Upload image to detect objects
Transformers.js is a lightweight JavaScript library designed for object detection tasks. It leverages the power of transformer-based models to identify and recognize objects within images. Built for modern JavaScript environments, Transformers.js is ideal for developers and researchers looking to integrate object detection capabilities into their web applications or projects.
• Pre-trained Models: Access to a variety of pre-trained transformer models optimized for object detection.
• High Accuracy: Leverages state-of-the-art architectures like DETR and Faster R-CNN for precise object recognition.
• Real-Time Processing: Supports real-time object detection with minimal latency.
• Extensible: Easily integrates with popular frameworks like TensorFlow.js and_ONNX.js.
• Cross-Browser Compatibility: Works seamlessly across modern web browsers.
• Simple API: User-friendly interface for loading models, preprocessing images, and parsing results.
npm install transformers.js
to add it to your project.import Transformers from 'transformers.js';
.const model = await Transformers.load('detr-resnet-50');
.const outputs = await model.detect(image);
.What browsers are supported by Transformers.js?
Transformers.js is compatible with modern browsers that support WebGL and ES6 standards, including Chrome, Firefox, and Safari.
How can I optimize performance for real-time detection?
To optimize performance, use smaller models, reduce input resolution, and enable quantization if supported by your model.
Can Transformers.js be used with other machine learning frameworks?
Yes, Transformers.js can be integrated with popular frameworks like TensorFlow.js and_ONNX.js for extended functionality.