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Track objects in video
YOLOv12 Demo

YOLOv12 Demo

Identify objects in images and videos

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What is YOLOv12 Demo ?

YOLOv12 Demo is a powerful AI tool designed to detect and track objects in images and videos. It leverages the state-of-the-art YOLOv12 model, which is known for its high accuracy and real-time performance. The demo provides an interactive interface to analyze visual data, making it suitable for both developers and non-technical users.

Features

• Real-time Object Detection: Instantly identify objects within images or video streams.
• Multi-Object Tracking: Track multiple objects simultaneously in video footage.
• High Accuracy: Benefit from advanced neural network architecture for precise detection.
• Customizable Settings: Adjust detection parameters like confidence thresholds.
• Multiple Input Formats: Supports images, video files, and live webcam feeds.
• Cross-Platform Compatibility: Runs seamlessly on Windows, macOS, and Linux.

How to use YOLOv12 Demo ?

  1. Install the Application: Download and install YOLOv12 Demo from the official source.
  2. Launch the Demo: Open the application and familiarize yourself with the interface.
  3. Select Input Source: Choose an image, video file, or enable the webcam for live detection.
  4. Adjust Settings: Optionally tweak settings like detection confidence or frame rate.
  5. Start Detection: Click the "Detect" button to begin object detection and tracking.
  6. Analyze Results: Review the output, which highlights detected objects with bounding boxes and labels.

Frequently Asked Questions

What objects can YOLOv12 Demo detect?
YOLOv12 Demo can detect a wide range of common objects, including people, animals, vehicles, and everyday items. The exact list depends on the model's training data.

Is YOLOv12 Demo free to use?
Yes, the demo version is typically free for evaluation purposes. However, certain features or advanced versions may require a license.

Can I use YOLOv12 Demo for live webcam feeds?
Yes, the demo supports live webcam input for real-time object detection and tracking. Simply select the webcam option in the input settings.

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