Detect objects in images or videos
Identify objects in images and videos
yolo-bdd-inference
Detect objects in a video and image using YOLOv5.
Generate a video with stick figures tracking human poses
SOTA real-time object detection model
Detect objects in images or videos
用于学习，验证识别效果
Detect objects in real-time video streams
Track moving objects in videos or webcam feed
Detect objects in live video feeds
Detect objects and track body movements in real-time
YOLOv11n & DeepSeek 1.5B LLM—Running Locally
The YOLOv12 Demo is a real-time object detection system built on the YOLO (You Only Look Once) framework. It is designed to detect objects in images or videos with high accuracy and speed. This demo serves as a showcase for the capabilities of the YOLOv12 model, making it accessible for users to test and explore its features.
• Real-Time Object Detection: Detect objects in images and videos with low latency.
• High Accuracy: Leveraging advanced algorithms for precise object recognition.
• Multiple Object Detection: Identify and track multiple objects within a single frame.
• Versatile Input Support: Process inputs from images, videos, or webcam feeds.
• Customizable: Adjust detection thresholds and settings to suit your needs.
• Cross-Platform Compatibility: Runs on various operating systems and devices.
What devices or platforms does YOLOv12 Demo support?
The YOLOv12 Demo is designed to run on Windows, macOS, and Linux systems. It can also be optimized for mobile devices with appropriate configurations.
Can I use YOLOv12 Demo for real-time video analysis?
Yes, the demo supports real-time video analysis using webcam feeds or pre-recorded video files.
How accurate is YOLOv12 compared to previous versions?
YOLOv12 offers improved accuracy and speed compared to earlier versions, thanks to advancements in its neural network architecture and training methods.