Upload an image to detect objects
Run object detection on videos
Identify benthic supercategories in images
Identify objects in your image
Analyze images for object recognition
Identify objects in images using text queries
Identify and label objects in images
Detect and measure areas of objects in images
Detect objects in images and videos using YOLOv5
RC Race Vision YOLO11 Gradio Application for Testing
Detect objects in an image
Identify objects in images
Identify car damage in images
Transformers.js is a JavaScript library designed for object detection tasks. It allows developers to easily integrate state-of-the-art AI models into their applications to detect objects within images. The library simplifies the process of loading, initializing, and using pre-trained models, making it accessible for both beginners and experienced developers.
• Upload and Detect: Easily upload an image and detect objects within it using pre-trained models.
• Real-Time Detection: Supports real-time object detection for dynamic applications.
• Multiple Models: Compatible with various transformer-based models, allowing you to choose the best model for your use case.
• Easy Integration: Lightweight and easy to integrate into web applications.
• Customizable: Allows customization of detection thresholds and other parameters.
• Multi-Object Detection: Detects multiple objects in a single image with bounding boxes and labels.
• Performance Optimized: Built with performance in mind to handle large images efficiently.
Include the Library: Add the Transformers.js library to your HTML file using a script tag.
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/[email protected]/dist/tf.min.js"></script>
<script src="transformers.js"></script>
Initialize the Detector: Create an instance of the detector with your preferred model.
const detector = new TransformersJS.Detector('model_name');
Upload an Image: Load an image into your application.
<input type="file" id="imageInput" accept="image/*">
Detect Objects: Use the detector to process the image and get detection results.
const image = document.getElementById('imageInput').files[0];
detector.detect(image).then(results => {
console.log(results); // Array of detection objects with labels and bounding boxes
});
Display Results: Render the detection results on the image using HTML5 Canvas or another drawing library.
What models are supported by Transformers.js?
Transformers.js supports a variety of transformer-based models, including popular ones like YOLO, SSD, and Faster R-CNN. You can load any compatible model by specifying its name during initialization.
How accurate is Transformers.js?
The accuracy depends on the underlying model you use. Transformers.js leverages pre-trained models, which are fine-tuned for high accuracy on standard benchmarks like COCO.
Can I use Transformers.js with other AI tasks besides object detection?
No, Transformers.js is specifically designed for object detection tasks. For other AI tasks like classification or segmentation, you might need to use additional libraries or tools.