Identify and label objects in video
Track moving objects in videos or webcam feed
Detect objects in real-time video streams
Product Prototype 1
Detect objects in images or videos
Analyze video for object detection and counting
Next Gen Yolo
Identify objects in images and videos
Detect objects in a video
Detect and track objects in images or videos
A UI for drone detection for YOLO-powered detection system.
SOTA real-time object detection model
Detect objects in real-time from webcam video
VideoObjectDetection is a powerful tool designed to track objects in video content. It enables users to identify and label objects within video frames, making it essential for applications that require object recognition, tracking, and analysis. This technology is particularly useful for surveillance, autonomous systems, and video analytics.
• Object Detection: Accurately identifies and labels objects within video frames.
• Tracking: Follows the movement of detected objects across frames.
• Real-Time Processing: Capable of processing video content in real-time.
• Customizable Models: Supports the use of custom-trained models for specific use cases.
• Integration: Can be integrated with various platforms and systems.
• High Accuracy: Delivers precise detection and tracking results.
What platforms does VideoObjectDetection support?
VideoObjectDetection is available on multiple platforms, including Windows, macOS, and Linux.
Can I use custom models with VideoObjectDetection?
Yes, the tool allows you to use custom-trained models for specific object detection tasks.
What formats does VideoObjectDetection support for input and output?
The tool supports common video formats like MP4, AVI, and MOV for input, and outputs results in JSON or CSV format.