Generate annotated video with object detection
YOLOv11n & DeepSeek 1.5B LLM—Running Locally
Detect objects in a video stream
Model Yolo
Object_detection_from_Video
用于学习,验证识别效果
Identify objects in live video
Detect objects in a video and image using YOLOv5.
Dino-X-API-Demo::Alteredverse
A UI for drone detection for YOLO-powered detection system.
Watch and analyze videos with object detection
Process videos to detect and track objects
Track objects in uploaded videos
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.