Detect objects in images or videos
Process video to detect specified objects
Identify objects in images and videos
Detect objects in uploaded videos or live streams
Detect objects in real-time from webcam video
ObjectCounter
Detect objects in real-time video streams
Detect and track cars in a video
Detect objects in live video feeds
Detect objects in images, videos, and live webcam streams
Analyze video for object detection and counting
Control object motion in videos using 2D trajectories
Powerful foundation model for zero-shot object tracking
YOLOv12 Demo is a powerful tool for detecting objects in images or videos. Built on the YOLOv12 model, it leverages advanced computer vision technology to identify and track objects in real-time. This demo provides an interactive interface to experience the capabilities of YOLOv12, making it ideal for developers and users interested in object detection tasks.
• Real-time object detection: Quickly identifies objects in images or video streams.
• Support for multiple input types: Works with images, video files, or live camera feeds.
• High accuracy: Utilizes the YOLOv12 model for precise object detection.
• User-friendly interface: Simplifies the process of object detection for non-technical users.
• Customizable settings: Allows users to adjust confidence thresholds and other parameters.
• Multi-object detection: Capable of detecting multiple objects simultaneously.
• Lightweight and efficient: Optimized for performance on various devices.
1. What types of inputs does YOLOv12 Demo support?
YOLOv12 Demo supports images (JPEG, PNG), video files (MP4, AVI), and live camera feeds.
2. Can I customize the detection settings?
Yes, users can adjust settings like confidence thresholds to improve detection accuracy.
3. Is YOLOv12 Demo suitable for real-time video analysis?
Yes, it is optimized for real-time object detection in video streams, including live camera feeds.