Upload images to detect objects
Identify objects in an image
Identify objects in real-time video feed
Draw a box to detect objects
Detect objects in anime images
Count objects in an image by drawing a region of interest
Identify objects in images with high accuracy
Find license plates in images
Detect objects in images and videos using YOLOv5
Detect objects in images
Upload an image to detect and classify objects
Identify objects in images and generate detailed data
Ultralytics YOLO11 Gradio Application for Testing
Transformers.js is a lightweight JavaScript library designed for object detection tasks. It allows developers to easily integrate image processing and object detection capabilities into web applications. The library leverages advanced AI models to upload images and detect objects within them, making it a powerful tool for applications requiring visual analysis.
• Real-time Object Detection: Detect objects in images with high accuracy. • Browser Compatibility: Works seamlessly in modern web browsers. • Ease of Use: Simple API for integrating object detection into web apps. • Customizable: Modify detection settings to suit specific use cases. • Support for Multiple Objects: Detect and identify multiple objects in a single image.
// Example usage
const detector = new TransformersJS Detector();
const image = document.getElementById('image');
detector.detect(image)
.then(results => {
// Handle detected objects
console.log(results);
})
.catch(error => {
console.error('Error:', error);
});
What browsers are supported by Transformers.js?
Transformers.js is designed to work with modern browsers such as Chrome, Firefox, and Edge. Ensure your browser supports WebGL for optimal performance.
Can I customize the detection model?
Yes, Transformers.js allows you to adjust detection settings like confidence thresholds and model parameters to tailor detection accuracy for your needs.
How do I handle multiple object detections?
The library returns an array of detected objects. You can iterate over this array to access each object's details, such as labels and bounding box coordinates.