YOLOv8: Video Object Detection with Python on Custom Dataset
YOLOv8 Video Object Detection for Computer Vision in Python. Train, Deploy Deep Learning YOLO8 Model on Custom Dataset
4.65 (102 reviews)
417
students
3 hours
content
Feb 2025
last update
$64.99
regular price
What you will learn
YOLOv8 for Real-Time Video Object Detection with Python
Train, Test YOLO8 on Custom Datasets and Deploy to Your Own Projects
Football, Player, and Referee Detection in Videos with Python
Vehicles (Ambulance, Bus, Car, Motorcycle, Truck) Detection in Videos
What is YOLO and How it Works for Object Detection?
Overview of YOLO Family (YOLO2, YOLO3, YOLO4, YOLO5, YOLO6, YOLO7, YOLO8)
Overview of CNN, RCNN, Fast RCNN, and Faster RCNN
Custom Football Player Dataset Configuration for Vidoes Object Detection
Custom Vehicles Dataset Configuration for Video Object Detection
YOLOv8 Ultralytics and its HyperParameters Settings
Training YOLOv8 for Player, Referee and Football Detection
Training YOLOv8 for Vehicles (Ambulance, Bus, Car, Motorcycle, Truck) Detection
Testing YOLOv8 Trained Models on Videos and Images
Deploy YOLOv8: Export Model to Required Format
What are the Performance Metrics for Object Detection
Calculate Performance Metrics (Precision, Recall, Mean Average Precision mAP)
Screenshots
5774606
udemy ID
1/19/2024
course created date
2/1/2024
course indexed date
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