YOLO v5: Label, Train and Test

About this course

In this completely practical course, you'll train your own object detector by YOLO v5 as the state-of-the-art algorithm.As for the quick start, you’ll test already trained YOLO v5 to detect objects on image, video and in real time by camera.After that, you’ll label your own dataset in YOLO format and create custom dataset from huge existing one.Next, you’ll train YOLO v5 in local machine as well as in cloud machine.Then, you’ll test YOLO v5 detector that was trained on your own data.As for the bonus part, you’ll pass practice test and plan your next steps.All the code templates can be modified and applied in your future work. The course can supplement your own project that you can represent as the results to your supervisor, or to make a presentation in front of classmates, or even mention it in your resume.Content OrganizationEach Section of the course contains:Video lecturesCode templates and coding activitiesQuizzesDownloadable instructionsDiscussion opportunitiesSMART lecturesVideo lectures of the course have SMART objectives:S - specific (the lecture has specific objectives)M - measurable (results are reasonable and can be quantified)A - attainable (the lecture has clear steps to achieve the objectives)R - result-oriented (results can be obtained

Course objectives

• train a custom object detection model
• apply YOLO v5 to real-time object detection
• understand the workflows of labeling, training, and testing models