This course covers all aspects of YOLOv4 Object Detection, from how it works and how to build it, to label images and videos and create annotation files, to downloading image datasets from Google Image Dataset, creating training and test files for YOLOv4, using pre-trained weights, creating configuration files, and custom object detection on YOLOv4 Darknet. This course provides step-by-step instruction, code samples, and practical examples, so you can gain the skills needed to build your own YOLOv4 object detection models.
Overview
Syllabus
YOLOv4 Object Detection Crash Course | YOLO v4 how it works and how to build it | Introduction.
Label Images for Object Detection | Annotate Images for Machine Learning | YOLOv4.
Annotate Videos for Machine Learning Model | Label Videos for Object Detection Model | YOLOv4.
Download Image Dataset from Google Image Dataset | FREE Labeled Images for Machine Learning.
Create Annotation file for Image Data in YOLO Object Detection | Convert Image Data into YOLO format.
Create Training and Test files for YOLOv4 | YOLOv4 Object Detection Code.
Object Detection using YOLO v4 PRETRAINED Weights | Install YOLOv4 WINDOWS.
Create Configuration file in YOLO Object Detection | YOLOv4.cfg file Download.
Train CUSTOM Object Detection Model using YOLOv4 | CUSTOM Object Detection on YOLOv4 Darknet.
Taught by
The AI University
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