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

4.33 (323 reviews)
Udemy
platform
English
language
Data Science
category
instructor
YOLOv8: Object Detection, Tracking & Web App in Python 2023
3,022
students
12 hours
content
Feb 2024
last update
$84.99
regular price

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

Why take this course?

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

Screenshots

YOLOv8: Object Detection, Tracking & Web App in Python 2023 - Screenshot_01YOLOv8: Object Detection, Tracking & Web App in Python 2023 - Screenshot_02YOLOv8: Object Detection, Tracking & Web App in Python 2023 - Screenshot_03YOLOv8: Object Detection, Tracking & Web App in Python 2023 - Screenshot_04

Reviews

Manoj
October 21, 2023
I love that you are covering concepts! I really enjoyed this first lesson. Very refreshing. I am listening to this for the first time, and I find it very beneficial to learn all the fundamentals. Most web sites out there just throw out code without explaining anything.
Muhammad
August 24, 2023
The course provide handful insights about customizing dataset, object detection and tracking, and image processing. Amazing effort put by instructor. Thanks
Vijayendran
July 29, 2023
This is really a good course, but the course taker is bit nervous throughout the session. Anyways this is one of the best course. Thank you everyone.
Gabor
July 21, 2023
Usually it takes too much time waiting to process uploads. During this time the presenter just repeats himself. It would be great if you would use a mouse highlighter or something like that to better catch what’s happening. In some cases it’s hard to follow the reasoning during explanation. In most cases when u begin a new .py file, u begin writing the code, then cut and just in one second the whole code is there. The explanation is good afterall, but it really hatd to follow your logic of coding (how u actually get to the final code).
Shaik
May 26, 2023
explanation of new terminology and metrics like mean average precision is missing. explaining this metrics is important to understand the comparision between yolo v8 and yolo v7
Joel
April 17, 2023
Really had good experience best part Moin sir explain the codes in well order manner. I wish to enroll for future courses of Moin sir. He have great knowledge of computer vision.
Thomas
April 9, 2023
This course is really perfect for anyone who wants to study the operation of yolo , the course is organized with theoretical and practical parts. The instructor listens and answers your questions in record time
Saiharshith
March 21, 2023
Excellent course if you want to learn YOLO. The instructor gives a theoretical overview of YOLO and a lot of practical hands-on teaching.
Kent
March 16, 2023
This course provides a comprehensive overview of YOLOv8. The instructor is also always available when I was confused or had any questions. Highly recommend this course!
Vitor
March 13, 2023
Course is helping me a lot to improve my knowledge of computer vision, I don't regret having bought the course, the didactics are very good

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Related Topics

5134858
udemy ID
2/3/2023
course created date
5/29/2023
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