Stream webcam video and detect objects in real-time
Count objects in an image by drawing a region of interest
Detect objects in images and videos
Detect objects in images
Detect objects in images using Transformers.js
Analyze images to count and classify mosquito species
Detect marine vessels in images
Detect objects in images using a web app
Detect forklifts in images
Upload an image to detect objects
Identify objects in images with high accuracy
Identify objects in images using a password-protected service
Identify objects in images with Transformers.js
Webrtc Yolov10n is a real-time object detection tool that leverages WebRTC (Web Real-Time Communication) for streaming webcam video and YOLOv10n (a lightweight version of the popular YOLO object detection model) for detecting objects in real-time. It is designed to provide a seamless and efficient way to perform object detection using a webcam as the input source.
What browsers are supported?
Webrtc Yolov10n is supported on most modern browsers, including Chrome, Firefox, Edge, and Safari, as long as they support WebRTC.
Can I use this tool with external cameras?
Yes, you can use external cameras as long as they are connected and recognized by your device. Simply select the appropriate camera from the browser settings.
How accurate is the object detection?
The accuracy depends on the quality of the video stream and the capabilities of the YOLOv10n model. It is optimized for real-time performance but may not achieve the same accuracy as heavier models like YOLOv5 or YOLOv7.