Segment objects in videos with point clicks
Find objects in videos
Dino-X-API-Demo::Alteredverse
Object_detection_from_Video
Detect objects in real-time video stream
Detect objects in real-time video streams
Detect objects in images or videos
Control object motion in videos using 2D trajectories
Identify objects in live video
Detect objects in images and videos
Detect objects and track body movements in real-time
Powerful foundation model for zero-shot object tracking
Process video to detect and highlight objects
SAM2 Video Predictor is an AI-powered tool designed to track objects in video. It leverages advanced algorithms to segment and track objects within video content with precision. The tool allows users to identify and monitor objects by simply clicking on points in the video, making it user-friendly and efficient.
• State-of-the-Art Tracking: Utilizes cutting-edge AI models for accurate object tracking. • Video Segmentation: Enables precise object segmentation through point clicks. • Multi-Video Format Support: Compatible with various video formats for versatile use. • User-Friendly Interface: Simplifies tracking tasks with an intuitive design. • Automation: Minimizes manual effort by automating object tracking. • Real-Time Results: Provides immediate tracking outcomes for quick analysis.
What video formats does SAM2 Video Predictor support?
SAM2 Video Predictor supports common video formats such as MP4, AVI, and MOV.
Do I need technical expertise to use SAM2 Video Predictor?
No, the tool is designed to be user-friendly, making it accessible even to non-experts.
Can SAM2 Video Predictor be used for real-time video analysis?
Yes, SAM2 Video Predictor offers real-time tracking capabilities, making it suitable for live video analysis.