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Track objects in video
YOLOv12 Demo

YOLOv12 Demo

Detect objects in images or videos

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What is YOLOv12 Demo ?

YOLOv12 Demo is a demo application that leverages the YOLOv12 model, part of the You Only Look Once (YOLO) family of object detection algorithms. It is designed to detect objects in images or videos in real time, making it a powerful tool for applications like surveillance, autonomous systems, or robotics. This demo provides an intuitive interface to showcase the capabilities of YOLOv12, offering highly accurate and fast object detection.

Features

  • State-of-the-art detection: Utilizes the latest advancements in the YOLO series for improved accuracy and speed.
  • Real-time processing: Detects objects in milliseconds, making it suitable for video streams and live applications.
  • User-friendly interface: Simplifies the process of uploading images or videos for object detection.
  • Customizable settings: Allows users to adjust detection parameters like confidence thresholds and IOU settings.
  • Multi-platform support: Works seamlessly across Windows, Linux, and macOS, with support for various deep learning frameworks.

How to use YOLOv12 Demo ?

  1. Install the YOLOv12 Demo: Download and install the application from the official repository or website.
  2. Upload an image or video: Use the interface to upload your input media. You can either select a file from your device or provide a URL.
  3. Run the detection: Click the "Detect" button to process the uploaded media. The model will analyze the input and detect objects.
  4. View results: The application will display the detected objects with bounding boxes and class labels.
  5. Adjust settings (optional): Modify confidence thresholds or other parameters to refine detection results.

Frequently Asked Questions

What is YOLOv12 Demo used for?
YOLOv12 Demo is used for detecting objects in images or videos. It is ideal for applications requiring real-time object recognition.

How accurate is YOLOv12 Demo?
YOLOv12 Demo provides state-of-the-art accuracy due to its advanced neural network architecture and training on large datasets.

Can YOLOv12 Demo be customized?
Yes, users can customize detection settings such as confidence thresholds and IOU (Intersection over Union) settings to refine results.

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