Udemy – YOLOv12: Custom Object Detection, Tracking & WebApps 2025-2

Apr 18, 2025 - 19:21

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YOLOv12: Custom Object Detection, Tracking & WebApps is an in-depth YOLOv12 course published by Udemy Online Academy. This course provides an in-depth look at YOLOv12, focusing on custom object detection, tracking, and deployment of AI models in web applications. The course covers model preparation, dataset preparation, and fine-tuning YOLOv12 for specific use cases. Students will learn how to implement real-time object detection, integrate AI models with Python and OpenCV, and optimize performance on edge devices.

YOLOv12 is the latest advanced computer vision model architecture that outperforms previous versions in terms of speed and accuracy. Building on the advances in previous YOLO models, YOLOv12 introduces significant architectural and training improvements, making it a versatile tool for a variety of computer vision tasks. The course is divided into several sections that cover everything from YOLOv12 basics to advanced applications. The course also explores deploying trained models using Flask and FastAPI, integrating with cloud platforms, and building interactive web applications for AI-based detection. By the end, learners will have hands-on experience developing, optimizing, and deploying YOLOv12-based solutions for a variety of real-world applications.

What you will learn in YOLOv12: Custom Object Detection, Tracking & WebApps:

YOLOv12 Architecture and How It Actually Works
What is Non-Maximum Suppression and Average Average Accuracy?
How to Use YOLOv12 for Object Detection
Evaluate the Performance of YOLOv12 Model on Images, Videos, and on Live Webcam Feed
Blurring Objects with YOLOv12 and OpenCV-Python
Annotating/Labels Data Using Roboflow
Build a Tennis Analytics System with YOLO, OpenCV, and PyTorch
Train and Fine-Tune YOLOv12 Models on Custom Datasets
And…