Description
You will learn about what is yolo and how it functions. Theoretical concepts of the Yolo algorithm. This course aims to deliver content in the simplest manner. Here 3 projects are developed using custom datasets, and YOLOv5 and YOLOv7 both algorithms are used for this project development. After completing this course you can develop your computer vision project using Yolo models. I hope the learners easily understand and implement their own projects using these algorithms. Detect objects using YOLO, one of the most powerful techniques for this taskRecognize gestures and actions in videos using OpenCVSave and sync the log files, validation loss, precision, accuracy graphs, and validation prediction images all details are saved in the local directory. At end of the course, you are capable of developing your own computer vision and object detection model. Who this course is for: Beginners who are starting to learn Computer Vision and Object DetectionUndergraduate students who are studying subjects related to Artificial IntelligencePeople who want to solve their own problems using Computer VisionStudents who want to work in companies developing Computer Vision projectsPeople who want to know all areas inside Computer Vision, as well as know the problems that these techniques are able to solveAnyone interested in Artificial Intelligence or Computer VisionData scientists who want to grow their portfolioProfessionals who want to understand how to apply Computer Vision to real projectsRequirements: Basic knowledge of PythonBasic knowledge of Object detection and computer vision
