YOLOv12 Demo

What is YOLOv12 Demo ?

YOLOv12 Demo is a cutting-edge object detection tool designed to identify and track objects within images and videos. It leverages the YOLO (You Only Look Once) v12 algorithm, known for its high accuracy and real-time processing capabilities. This demo provides a user-friendly interface to experience state-of-the-art object detection, making it ideal for developers, researchers, and enthusiasts exploring computer vision applications.

Features

• Object Detection in Images and Videos: Detect and classify objects in both static images and video streams.
• Real-Time Tracking: Track moving objects across frames with high precision.
• High Accuracy: Benefits from the latest advancements in YOLOv12, ensuring robust detection even in complex scenes.
• No External Dependencies Required: Runs efficiently on standard hardware with minimal setup.
• Support for Multiple Input Formats: Accepts various image and video formats for versatile use cases.
• User-Friendly Interface: Intuitive design makes it easy to use, even for beginners.

How to use YOLOv12 Demo ?

1. Install Required Dependencies: Ensure you have Python and necessary libraries installed. Use pip install -r requirements.txt to install dependencies.
2. Download the YOLOv12 Model: Navigate to the project directory and download the pre-trained YOLOv12 weights.
3. Run the Demo Script: Execute the demo script using Python (e.g., python yolo_demo.py).
4. Select Input Type: Choose between detecting objects in an image or video during runtime.
5. View Results: See detected objects highlighted with bounding boxes and class labels in real time.

Frequently Asked Questions

What frameworks does YOLOv12 Demo support?
YOLOv12 Demo primarily supports PyTorch, ensuring compatibility with the latest AI advancements.

Can I use YOLOv12 Demo for commercial projects?
Yes, YOLOv12 Demo is free to use for both personal and commercial projects, though specific licensing terms may apply depending on your use case.

How accurate is YOLOv12 compared to previous versions?
YOLOv12 offers significant improvements in accuracy and speed compared to earlier versions, making it more suitable for real-time applications.