Identify and label objects in images or videos
Detect objects in live video feeds
Track and count vehicles in real-time
Detect objects in uploaded videos
Analyze images and videos to identify objects
Analyze video for object detection and counting
SOTA real-time object detection model
Detect objects in real-time from webcam video
Detect moving objects in videos
Process video to count and track cars
computer-vision-problems
ObjectCounter
Detect cars, trucks, buses, and motorcycles in videos
YOLOv12 Demo is a state-of-the-art object detection application designed to identify and label objects in images or videos. It leverages the YOLO (You Only Look Once) v12 model, known for its real-time detection capabilities and high accuracy. This demo is ideal for developers and users who want to explore object tracking and recognition in various applications, such as security systems, surveillance, or analytics tools.
• Real-time Object Detection: Detect objects in images and videos with low latency.
• Multi-Object Tracking: Simultaneously track multiple objects within a scene.
• High Accuracy: Benefits from YOLOv12's advanced architecture, including improved backbone and neck models.
• Customizable Thresholds: Adjust confidence thresholds for better precision or recall.
• Support for Various Formats:Works with images, video files, and live camera feeds.
• Optimized Performance: Runs efficiently on GPUs and CPUs, including mobile devices.
python demo.py).What formats does YOLOv12 Demo support?
YOLOv12 Demo supports JPEG, PNG, and video files (e.g., MP4, AVI) as input. It can also process live camera feeds.
How do I track multiple objects simultaneously?
The demo automatically detects and tracks multiple objects in a frame. Ensure your input source provides clear views of all objects for accurate detection.
Can I run YOLOv12 Demo on a mobile device?
Yes, YOLOv12 is optimized for mobile devices. However, ensure your device meets the minimum hardware requirements for smooth performance.