Yolov8: Object Detection, Tracking & Web App In Python 2023

YOLOv8, Train Custom Dataset, Object Detection, Segmentation, Tracking, Real World 17 + Projects & Web Apps in Python

What you'll learn
Introduction to YOLO
Fundamentals of YOLOv8
How to run a YOLOv8 program for Object Detection, Segmentation, Classification
How to find the appropriate dataset
Data annotation/labeling/ Automatic Dataset Splitting
Training YOLOv8 on Custom Dataset
How to train YOLOv8 using custom dataset, transfer learning and resume training
Visualize the Training Performances
Multiple Object Tracking using YOLOv8
Object Segmentation using YOLOv8
How to train YOLOv8 Segmentation using custom dataset, transfer learning and resume training
YOLOv8 Segmentation with Multiple Object Tracking
Integrating YOLOv8 with Flask for Web App Development
Potholes Detection using YOLOv8
Personal Protective Equipment Detection using YOLOv8
Pen and Book Detection using YOLOv8
Traffic Counting using YOLOv8 and DeepSORT Object Tracking
Car Velocity Calculation + Traffic Counting
Vehicles Counting (Entering and Leaving) using YOLOv8 & DeepSORT Object Tracking
Car Velocity Calculation + Vehicles Counting (Entering and Leaving)
Potholes Detection and Segmentation using YOLOv8
Traffic Lights Detection and Color Recognition using YOLOv8
Cracks Segmentation using YOLOv8.
Helmet Detection and Segmentation using YOLOv8
Traffic Watch: Automated Vehicle Direction Detection and Counting using YOLOv8
License Plate Detection and Recognition using YOLOv8
Face Detection, Gender Classification, Counting, Tracking, Alert and Analytics
Object Blurring using YOLOv8 with Object Tracking
Vehicles Segmentation and Tracking with Vehicles Counting and Speed Estimation
Personal Protective Equipment (PPE) Detection Web App
Real World 17 + Projects with YOLOv8: Unleashing the Power of YOLOv8

Requirements
Python Programming experience is an advantage but not required
Laptop/PC

Description
Welcome to the YOLOv8: The Ultimate Course for Object Detection & Tracking with Hands-on Projects,  Applications & Web App Development. YOLOv8 is the state-of-the-art object detection model. It is the 8th version of YOLO and is an improvement over the previous versions in terms of speed, accuracy and efficiency. What will you learn in this course:Introduction to YOLOOverview of CNN, RCNN, Fast RCNN, Faster RCNN, Mask R-CNNIntroduction to YOLOv8Comparison of YOLOv8 and YOLOv7 considering the License Plate Detection ProblemRunning YOLOv8 on WindowsRunning YOLOv8 in Google ColabHow to find the datasetData annotation/labeling/ Automatic Dataset SplittingHow to train YOLOv8 using custom dataset, transfer learning and resume trainingTraining Custom YOLOv8: Potholes DetectionTraining Custom YOLOv8: Personal Protective Equipment Detection Training Custom YOLOv8: Pen and Book DetectionIntroduction to Multi-Object TrackingImplementing YOLOv8 with Multi-Object Tracker DeepSORT AlgorithmImplementing YOLOv8 with Multi-Object Tracker DeepSORT Algorithm | Google ColabTraffic Counting using YOLOv8 and DeepSORT Object TrackingCar Velocity Calculation + Traffic CountingVehicles Counting (Entering and Leaving) using YOLOv8 & DeepSORT Object TrackingCar Velocity Calculation + Vehicles Counting (Entering and Leaving)Run YOLOv8 Segmentation on Google ColabYOLOv8 Segmentation with TrackingHow to train YOLOv8 Segmentation using custom dataset, transfer learning and resume trainingPotholes Segmentation using YOLOv8Traffic Lights Detection and Color Recognition using YOLOv8 | Custom DatasetCracks Segmentation using YOLOv8.Helmet Detection and Segmentation using YOLOv8Traffic Watch: Automated Vehicle Direction Detection and Counting using YOLOv8.Face Detection, Gender Classification, Crowd Counting, Tracking with Alert and Analytics using YOLOv8.Licence Plate Detection and Recognition using YOLOv8 and EasyOCR.Object Blurring using YOLOv8 with Object TrackingVehicles Segmentation and Tracking with Vehicles Counting and Speed EstimationIntegrating YOLOv8 with FlaskCreating a Complete Frontend Web AppApp- Personal Protective Equipment (PPE)  Detection

Who this course is for:
For Everyone who is interested in Computer Vision,For Everyone who study Computer Vision and want to know how to use YOLO for Object Detection,For Everyone who wants to learn the latest YOLOv8 version,Building Deep learning Apps with Computer Vision,Building Web Apps with Computer Vision