Generate annotated video with object detection
Analyze images and videos to identify objects
Object_detection_from_Video
Detect objects in images or videos
Track and label objects in videos
Track objects in uploaded videos
Analyze video to recognize actions or objects
Process videos to detect and track objects
Powerful foundation model for zero-shot object tracking
Detect objects in images or videos
Detect objects and track body movements in real-time
Detect objects in real-time from webcam video
SOTA real-time object detection model
Florence-2 for Videos is a cutting-edge AI tool designed to track objects within video content. It leverages advanced computer vision technology to analyze video frames and generate annotated outputs. The tool is particularly useful for applications requiring object detection and tracking across multiple frames, making it ideal for surveillance, analytics, and content creation.
• Advanced Object Tracking: Accurately tracks objects across video frames.
• Customizable Annotations: Generates annotated videos with detailed object labels.
• High Accuracy Detection: Utilizes state-of-the-art models for precise object recognition.
• Export Capabilities: Allows users to export annotated videos in multiple formats.
• Integration Support: Works seamlessly with popular video analysis tools.
• Real-Time Processing: Enables fast and efficient video processing for quick results.
What video formats are supported?
Florence-2 for Videos supports MP4, AVI, MOV, and MPEG formats.
How accurate is the object detection?
Accuracy depends on factors like video resolution, lighting conditions, and object occlusion. Florence-2 for Videos delivers high accuracy under optimal conditions.
Can it track objects in real-time?
While Florence-2 for Videos is optimized for speed, real-time tracking depends on your system's processing power and the complexity of the video.