Track objects in a video
Detect moving objects in videos
Generate a video with stick figures tracking human poses
Track people in a video and capture faces
Powerful foundation model for zero-shot object tracking
Detect and track objects in images or videos
Generate annotated video with object detection
Detect objects in a video
Detect objects in uploaded videos
Detect cars, trucks, buses, and motorcycles in videos
Analyze images and videos to identify objects
Detect objects in images or videos
Track and count vehicles in real-time
Object Tracking Yolov8 is an advanced AI-based tool designed for tracking objects in video streams. Built on the YOLOv8 framework, it combines state-of-the-art object detection with robust tracking algorithms to provide accurate and efficient object tracking capabilities. This tool is particularly useful for applications such as surveillance, autonomous systems, and video analytics.
• Real-Time Tracking: Capable of tracking objects in real-time, making it suitable for live video feeds. • Multiple Object Tracking: Supports the simultaneous tracking of multiple objects within a video frame. • High Accuracy: Utilizes advanced AI models to ensure precise object detection and tracking. • Flexibility: Compatible with various video formats and sources, including local files and network streams. • Customizable: Allows users to define tracking parameters and object classes based on specific needs.
What is the difference between YOLOv8 and other YOLO versions?
YOLOv8 offers improved detection accuracy and speed compared to previous versions, with enhanced support for tracking and multi-object detection.
Can Object Tracking Yolov8 handle occlusions?
Yes, the tool includes algorithms to handle temporary occlusions by predicting object positions based on past tracks.
How can I customize the tracking for specific objects?
You can define custom object classes and filter tracking to focus on specific objects by modifying the detection parameters and tracking logic.