Enroll Course: https://www.udemy.com/course/yolo-custom-object-detection/
If you’re interested in diving into computer vision, especially object detection, the Udemy course titled ‘YOLO: Custom Object Detection & Web App in Python’ is an excellent choice. This course offers a practical and in-depth exploration of YOLO (You Only Look Once), one of the most popular and efficient object detection models used today. The course is structured into two main parts. The first half focuses on training a custom YOLO v5 model with a dataset containing 20 different object classes. It covers everything from data collection, labeling with LabelImg, parsing XML annotations, to preparing datasets for training. The second half takes your project a step further by guiding you through building a web application in Python that integrates your trained model, giving users a graphical interface. You’ll also learn how to deploy your model on a cloud platform, making your project scalable and accessible. The instructor clearly explains the mathematical concepts behind YOLO, its evolution through different versions, and the metrics used to evaluate object detection performance, such as IoU, precision, and mAP. The hands-on tutorials are comprehensive, with code, images, and weights provided for each step, allowing for easy replication and customization. Whether you’re a beginner or an intermediate developer, this course offers valuable insights and practical skills to implement real-time object detection solutions. I highly recommend it for anyone looking to enhance their expertise in computer vision, especially if you want to deploy AI models in web applications. Completing this course not only equips you with technical skills but also provides a certificate to showcase your achievement.
Enroll Course: https://www.udemy.com/course/yolo-custom-object-detection/