Detect objects in uploaded images
Upload images/videos to detect wildfires and smoke
Generic YOLO Models Trained on COCO
Detect objects in images and videos
Identify and label objects in images
Find objects in your images
State-of-the-art Object Detection YOLOV9 Demo
Identify objects in images
Detect objects in an image and identify them
Detect objects in images and highlight them
Detect traffic signs in images
Identify objects in your images using labels
Identify objects in images using a password-protected service
Transformers.js is a JavaScript library designed for object detection in images. It leverages modern AI models to provide accurate and efficient detection of objects within uploaded images. The library simplifies the process of integrating object detection capabilities into web applications.
• Real-time object detection: Quickly identify and label objects in images. • Support for various image formats: Works with common formats like JPG, PNG, and more. • Customizable models: Adjust detection sensitivity and parameters to suit specific needs. • Browser compatibility: Compatible with modern web browsers for seamless integration. • Responsive design: Easily integrate with web applications and maintain a smooth user experience.
What browsers are supported by Transformers.js?
Transformers.js is compatible with modern browsers that support HTML5 and JavaScript, including Chrome, Firefox, Safari, and Edge.
Can I customize the detection models?
Yes, Transformers.js allows customization of detection models and parameters to tailor performance for specific use cases.
What is the maximum image size supported?
The library supports images up to 4096x4096 pixels, depending on browser memory constraints and performance optimization settings.