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
Ratings 4.28 / 5.00
What You Will 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
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 YOLO
Overview of CNN, RCNN, Fast RCNN, Faster RCNN, Mask R-CNN
Introduction to YOLOv8
Comparison of YOLOv8 and YOLOv7 considering the License Plate Detection Problem
Running YOLOv8 on Windows
Running YOLOv8 in Google Colab
How to find the dataset
Data annotation/labeling/ Automatic Dataset Splitting
How to train YOLOv8 using custom dataset, transfer learning and resume training
Training Custom YOLOv8: Potholes Detection
Training Custom YOLOv8: Personal Protective Equipment Detection
Training Custom YOLOv8: Pen and Book Detection
Introduction to Multi-Object Tracking
Implementing YOLOv8 with Multi-Object Tracker DeepSORT Algorithm
Implementing YOLOv8 with Multi-Object Tracker DeepSORT Algorithm | Google Colab
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)
Run YOLOv8 Segmentation on Google Colab
YOLOv8 Segmentation with Tracking
How to train YOLOv8 Segmentation using custom dataset, transfer learning and resume training
Potholes Segmentation using YOLOv8
Traffic Lights Detection and Color Recognition using YOLOv8 | Custom Dataset
Cracks Segmentation using YOLOv8.
Helmet Detection and Segmentation using YOLOv8
Traffic 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 Tracking
Vehicles Segmentation and Tracking with Vehicles Counting and Speed Estimation
Integrating YOLOv8 with Flask
Creating a Complete Frontend Web App
App- Personal Protective Equipment (PPE) Detection
Who Should Attend!
- 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
