YOLO V4 Object Detection Crash Course

Overview

Dive into the world of object detection with this comprehensive crash course on YOLO v4. Learn how YOLO v4 works, from labeling images and videos for machine learning to downloading datasets and creating annotation files. Master the process of setting up training and test files, using pretrained weights, and creating configuration files. Gain hands-on experience in installing YOLOv4 on Windows and training custom object detection models using YOLOv4 Darknet. By the end of this 2.5-hour course, you'll have the skills to implement YOLO v4 for various object detection tasks.

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.