Identify and label objects in video
Watch and analyze videos with object detection
Detect objects in real-time video stream
Detect objects in a video and image using YOLOv5.
Detect objects in real-time video streams
Detect objects in a video using a query image
Detect and track objects in images or videos
Track and count vehicles in real-time
Process video to detect specified objects
A UI for drone detection for YOLO-powered detection system.
Detect and track cars in a video
用于学习，验证识别效果
Detect objects in images or videos
VideoObjectDetection is an AI-powered tool designed to track objects in video by identifying and labeling them. It leverages advanced computer vision techniques to detect and follow objects across video frames, enabling precise tracking and analysis.
• Real-time Object Detection: Capable of processing video streams in real-time for immediate object identification.
• High Accuracy: Utilizes state-of-the-art AI models to ensure precise object detection and tracking.
• Multi-Object Tracking: Can simultaneously track multiple objects within a single video frame.
• Customizable Models: Allows users to train or fine-tune models for specific object detection tasks.
• Support for Various Formats: Works with diverse video formats and resolutions.
Note: For advanced users, integration with programming interfaces (e.g., Python) is available for custom implementations.
What video formats does VideoObjectDetection support?
VideoObjectDetection supports MP4, AVI, MOV, and MPEG formats, ensuring compatibility with most common video types.
Can I use VideoObjectDetection for live video streams?
Yes, VideoObjectDetection is designed to handle real-time video streams, making it suitable for live object tracking applications.
How accurate is VideoObjectDetection?
Accuracy depends on the model used and video quality. With state-of-the-art models, VideoObjectDetection achieves high accuracy, but results may vary based on input conditions.