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    Yolov8: The Ultimate Course For Object Detection & Tracking

    Posted By: ELK1nG
    Yolov8: The Ultimate Course For Object Detection & Tracking

    Yolov8: The Ultimate Course For Object Detection & Tracking
    Published 3/2023
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 10.79 GB | Duration: 10h 6m

    YOLO, Introduction to YOLOv8, Train Custom Dataset, Object Detection, Segmentation, Tracking, Real World 17 + Projects

    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 dataset

    Data annotation/labeling/ Automatic Dataset Splitting

    How to train YOLOv8 using custom dataset, transfer learning and resume training

    Visualize the Training Perfromances

    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

    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 and Applications. 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 Estimation

    Overview

    Section 1: YOLOv8 Introduction

    Lecture 1 Introduction to YOLO

    Lecture 2 Overview of CNN, RCNN, Fast RCNN, Faster RCNN, Mask R-CNN

    Lecture 3 Introduction to YOLOv8

    Lecture 4 Comparison of YOLOv8 and YOLOv7 considering the License Plate Detection Problem

    Section 2: YOLOv8 Implementation

    Lecture 5 Running YOLOv8 on Windows

    Lecture 6 Running YOLOv8 in Google Colab

    Section 3: Training Custom YOLOv8

    Lecture 7 Potholes Detection Part1

    Lecture 8 Potholes Detection Part2

    Lecture 9 Personal Protective Equipment Detection| Google Colab| Part 1

    Lecture 10 PPE Detection Part 2| Live Webcam Testing

    Lecture 11 Pen and Book Detection Part 1

    Lecture 12 Pen and Book Detection Part2

    Lecture 13 Pen and Book Detection Part3

    Section 4: YOLOv8 Object Tracking

    Lecture 14 Introduction to Multi-Object Tracking

    Lecture 15 Implementing YOLOv8 with Multi-Object Tracker DeepSORT Algorithm

    Lecture 16 Implementing YOLOv8 with Multi-Object Tracker DeepSORT Algorithm | Google Colab

    Lecture 17 Traffic Counting using YOLOv8 and DeepSORT Object Tracking

    Lecture 18 Car Velocity Calculation + Traffic Counting

    Lecture 19 Vehicles Counting (Entering and Leaving) using YOLOv8 & DeepSORT Object Tracking

    Lecture 20 Vehicles Counting Entering and Leaving Part1

    Lecture 21 Vehicles Counting Entering and Leaving Part2

    Lecture 22 Car Velocity Calculation + Vehicles Counting (Entering and Leaving)

    Section 5: YOLOv8 Object Segmentation and Tracking

    Lecture 23 YOLOv8 Segmentation

    Lecture 24 Run YOLOv8 Segmentation on Google Colab

    Lecture 25 YOLOv8 Segmentation with Tracking

    Section 6: Training YOLOv8 Segmentation Model on Custom Dataset

    Lecture 26 YOLOv8 Segmentation on Custom Dataset | Potholes Segmentation | Part 1

    Lecture 27 YOLOv8 Segmentation on Custom Dataset | Potholes Segmentation | Part 2

    Lecture 28 YOLOv8 Segmentation on Custom Dataset | Potholes Segmentation | Part 3

    Section 7: YOLOv8 Apps

    Lecture 29 Traffic Lights Detection and Color Recognition using YOLOv8 | Custom Dataset

    Lecture 30 Cracks Segmentation using YOLOv8.

    Lecture 31 Helmet Detection and Segmentation using YOLOv8

    Lecture 32 TrafficWatch: Automated Vehicle Direction Detection and Counting using YOLOv8

    Lecture 33 License Plate Detection and Recognition using YOLOv8

    Lecture 34 Face Detection, Gender Classification, Counting, Tracking, Alert and Analytics

    Lecture 35 Face Detection, Gender Classification, Counting, Tracking, Alert and Analytics

    Lecture 36 Object Blurring using YOLOv8 with Object Tracking

    Lecture 37 Vehicles Segmentation and Tracking with Vehicles Counting and Speed Estimation

    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