Track objects in live stream or uploaded videos
Detect marine vessels in images
Identify benthic supercategories in images
Detect objects in uploaded images
Identify objects in your images using labels
Upload image to detect objects
Detect objects in images
Upload an image to detect objects
Detect objects in images and get bounding boxes
Upload an image to detect objects
Identify and label objects in images using YOLO models
Find objects in images using text descriptions
Run object detection on videos
Livestream Webapp is an AI-powered web application designed for object detection in live video streams or uploaded videos. It enables users to track and identify objects in real-time, making it a valuable tool for surveillance, monitoring, and analytics. The app leverages cutting-edge AI technology to provide accurate and efficient object detection, suitable for various applications.
• Real-Time Object Detection: Track objects in live video streams with high accuracy.
• Video Upload Support: Analyze uploaded videos for object detection.
• Customizable Detection: Define specific objects to track based on user needs.
• Alert System: Receive notifications when selected objects are detected.
• Analytics Dashboard: View detailed insights and patterns from detection data.
• Cross-Platform Compatibility: Access the app from any modern web browser.
• User-Friendly Interface: Intuitive design for easy navigation and configuration.
• Integration Capabilities: Connect with third-party services for advanced workflows.
What browsers are supported by Livestream Webapp?
Livestream Webapp is compatible with all modern web browsers, including Chrome, Firefox, Safari, and Edge.
Can I customize the objects being detected?
Yes, users can define specific objects to track based on their requirements, allowing for tailored detection.
How does the app handle high-traffic live streams?
The app is optimized to handle high-traffic streams efficiently, ensuring minimal latency and accurate detection even in busy environments.