Detect objects in images or videos
Detect objects in real-time video streams
Analyze images and videos to identify objects
Video captioning/tracking
Control object motion in videos using 2D trajectories
Detect objects in a video
Photo and video detector with csv annotation saving
YOLOv11n & DeepSeek 1.5B LLM—Running Locally
Identify objects in live video
Identify objects in images and videos
Generate annotated video with object detection
Detect objects in images or videos
Identify objects in images and videos
YOLOv12 Demo is a powerful tool for object detection in images and videos. Built using the YOLOv12 model, it enables users to track objects in real-time with high accuracy. Designed for both developers and non-technical users, this demo provides an intuitive way to experience cutting-edge object detection capabilities.
• Real-Time Detection: Identify objects in videos or images instantly. • Multiple Platforms: Compatible with various operating systems and devices. • Customizable Models: Adjust settings to optimize performance for specific use cases. • High Accuracy: Benefits from the advanced YOLOv12 architecture for improved detection precision. • User-Friendly Interface: Simplifies the process of object detection for all users.
1. What is the minimum system requirement for YOLOv12 Demo?
The YOLOv12 Demo typically requires a modern GPU for optimal performance, but it can run on CPUs with reduced speed.
2. Can YOLOv12 Demo process live video feeds?
Yes, YOLOv12 Demo supports real-time object detection in live video streams.
3. How do I customize the detection model?
You can adjust model settings such as confidence thresholds and resolution in the application preferences or through command-line arguments.