Stream webcam video and detect objects in real-time
Identify objects in images and return details
Identify and label objects in images
Analyze images for object recognition
Identify benthic supercategories in images
Detect and measure areas of objects in images
Identify segments in an image using a Detectron2 model
Detect objects in uploaded images
RC Race Vision YOLO11 Gradio Application for Testing
Upload image to detect objects
Run object detection on videos
Identify and label objects in images using YOLO models
Identify objects in images and generate detailed data
Webrtc Yolov10n is a real-time object detection tool that leverages the power of WebRTC for webcam streaming and YOLOv10n for object detection. It enables users to detect objects in video streams directly from their web browsers, providing a seamless and interactive experience. The tool is designed for real-time processing, making it ideal for applications that require immediate results.
What browsers are supported?
Webrtc Yolov10n is compatible with most modern web browsers, including Chrome, Firefox, and Edge.
Can I customize the object detection model?
Yes, you can customize the detection model by modifying the YOLOv10n configuration to detect specific objects.
Why is my detection slow?
Slow performance may be due to low hardware specifications or poor internet connectivity. Ensure your device meets the recommended system requirements.