Training YOLO v3 for Objects Detection with Custom Data - learn Object Detection

Link to this course(special discount)
Training YOLO v3 for Objects Detection with Custom Data - learn Object Detection
What you will learn in this course ?
What you'll learnApply already trained YOLO v3 for Objects Detection on image, video and in real time with cameraLabel own dataset and structure files in YOLO formatCreate custom dataset in YOLO formatConvert existing dataset of Traffic Signs in YOLO formatTrain YOLO v3 in Darknet frameworkBuild own PyQt graphical user interface for Objects Detection based on YOLO v3 algorithm
In this hands-on course, you'll train your own Object Detector using YOLO v3 algorithm.As for beginning, you’ll implement already trained YOLO v3 on COCO dataset. You’ll detect objects on image, video and in real time by OpenCV deep learning library. Those code templates you can integrate later in your own future projects and use them for your own trained models.After that, you’ll label own dataset as well as create custom one by extracting needed images from huge existing dataset.Next, you’ll convert Traffic Signs dataset into YOLO format. Code templates for converting you can modify and apply for other datasets in your future work.When datasets are ready, you’ll train and test YOLO v3 Detectors in Darknet framework.As for Bonus part, you’ll build graphical user interface for Object Detection by YOLO and by the help of PyQt. This project you can represent as your results to your supervisor or to make a presentation in front of classmates or even mention it in your resume.Content Organization. Each Section of the course contains:VideosCode PracticesCode TemplatesActivitiesQuizzesDownloadable InstructionsDiscussion Opportunities
this is the best Object Detection course. you can download and watch for free after enroll.