Track points in a video by clicking or using grid
Track objects in uploaded videos
Detect objects in live video from your webcam
YOLOv11n & DeepSeek 1.5B LLM—Running Locally
Process video to detect specified objects
Automated Insect Detection
Dino-X-API-Demo::Alteredverse
Track and label objects in videos
Object_detection_from_Video
A UI for drone detection for YOLO-powered detection system.
Detect objects in real-time from your webcam
Efficient Track Anything
yolo
CoTracker is an AI-powered tool designed to track objects in video with precision and ease. It allows users to efficiently monitor moving points by clicking on objects or using a grid-based system, making it a versatile solution for video analysis. CoTracker is suitable for both real-time and post-processing video analysis, enabling users to track objects seamlessly across frames.
• Intuitive User Interface: simplified for easy tracking operations • Grid and Click Tracking: track points by clicking or using a grid overlay • Advanced AI Tracking: handles object occlusion and complex movements • Multi-Object Tracking: supports tracking multiple objects in a single video • Export Data: save tracking results for further analysis • Customizable Settings: adjust tracking parameters for specific needs
What video formats does CoTracker support?
CoTracker supports MP4, AVI, MOV, and other common video formats.
Can CoTracker track objects in real-time?
Yes, CoTracker can track objects in real-time depending on system performance and video resolution.
How does CoTracker handle objects that go out of view?
CoTracker uses advanced AI algorithms to predict and re-acquire objects that temporarily leave the frame or are occluded.