What does the training include?
This hands-on course introduces you to the core concepts of object detection, including bounding boxes, Intersection over Union (IoU) and mean Average Precision (MaP). You'll learn how YOLO works, how to use pre-trained models, and how to train your own models with annotated datasets. You will also get hands-on with OpenCV for image editing and real-time detection. At the end of the day, you'll have a fully trained model that you can apply to your own data.
For whom?
This course is intended for data scientists, AI engineers and developers who want to get hands-on with computer vision and object detection. Basic knowledge of Python is required.
