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YOLOv7 YOLOv8 YOLO-NAS: Object Detection, Tracking & WebApp

Name: YOLOv7 YOLOv8 YOLO-NAS: Object Detection, Tracking & WebApp
Rating: 3.9 (122 reviews)

Object Detection, Segmentation, Tracking, Pose Estimation, Web App Development, Real World 22 + projects with Web Apps

Created byMuhammad Moin

Last updated 7/2025

English

What you'll learn

Introduction to YOLOv7
Introduction to YOLOv8
What's New in YOLO-NAS | Is YOLO-NAS the Future of Object Detection?
YOLO-NAS Object Detection | Run YOLO-NAS in 1 CLICK - Google Colab
How to run a YOLOv7 program for Object Detection, Segmentation
How to run a YOLOv8 program for Object Detection, Segmentation
How to find the dataset
Data annotation/labeling/ Automatic Dataset Splitting
How to train YOLOv7 using custom dataset, transfer learning and resume training
Visualize the Training Performances
How to train YOLOv8 using custom dataset
How to train YOLO-NAS using custom dataset
YOLO-NAS Object Detection with Webcam in Real Time
Multiple Object Tracking using YOLOv7
Multiple Object Tracking using YOLOv8
Object Segmentation using YOLOv7
Object Segmentation using YOLOv8
YOLOv7 Segmentation with Multiple Object Tracking
YOLOv8 Segmentation with Multiple Object Tracking
Pose Estimation using YOLOv7
Badminton Shots Identification using LSTM and YOLOv7 Pose Estimation Model
Crunch Counter using YOLOv7 Pose Estimation
Real Time Sign Language Alphabets Detection using YOLO-NAS
Personal Protective Equipment Detection using YOLO-NAS
Real-Time Custom Object Detection with YOLO-NAS and Webcam
Face Mask Detection using YOLOv7
Integrating YOLOv7 with Flask for Web App Development
Personal Protective Equipment Detection using YOLOv7
Potholes Detection using YOLOv8
Personal Protective Equipment Detection using YOLO-NAS
Car Velocity Calculation + Traffic Counting using YOLOv7 and Object Tracking
Vehicles Counting (Entering and Leaving) using YOLOv7 & DeepSORT Object Tracking
Car Velocity Calculation + Vehicles Counting (Entering and Leaving)
Potholes Detection and Segmentation using YOLOv7 & Estimating the Pixel Area of Each Segmentation Mask
Vehicles Intensity Heatmaps | Vehicles Counting | Tracking using YOLOv7
Privacy Blurring using YOLOv7 with Object Tracking
Fire Detection System using YOLOv7
Plastic Bottles Counting on Manufacturing Lines using YOLOv7
Waste Detection and Segmentation using YOLOv7
License Plate Detection and Recognition using YOLOv7
Basketball Player and Ball Detection, Tracking and Speed Estimation using YOLOv7
Tennis Shots Identification using YOLOv7 Pose Estimation and LSTM Model
Push Up Counter using YOLOv7 Pose Estimation
Privacy Blurring Web App
Vehicles Counting Entering and Leaving Web App
Real World 22 + Projects with YOLOv7

Course content

19 sections • 76 lectures • 19h 54m total length

Introduction to Object Detection4:38
Overview of CNN, RCNN, Fast RCNN, Faster RCNN, Mask R-CNN23:29
In the lecture 2, the following topics are covered
1. Convolutional Neural Network (CNN)
2. Region Based Convolutional Neural Network (R-CNN)
3. Fast R-CNN
4. Faster R-CNN
5. Mask R-CNN
Introduction to YOLO Algorithm20:42
In this lecture, the following topics are covered.
1. What is YOLO
2. Image Classification
3. Object Localization
4. Training of a Neural Network
5. Why we need YOLO
6. YOLO Algorithm
YOLOv7 Paper Review10:58
Measury Accuracy in Computer Vision9:47
Intersection Over Union (IOU)18:21
Non-Max Suppression (NMS)11:18
YOLOv7 Object Detection on Images, Video in Google Colab12:53

Running YOLOv8 on Windows25:54
In this lecture, we will implement YOLOv8 for Object Detection and Segmentation on Windows. We will also see how we can create a simple Python file, import the YOLO module and perform the task of our choice.
Running YOLOv8 in Google Colab25:20
In this lecture, we will implement YOLOv8 for Object Detection and Segmentation in Google Colab. We will test YOLOv8 model on images and videos.

Training Custom YOLOv7| Face Mask Detection using YOLOv7 | Part 123:04
Training Custom YOLOv7| Face Mask Detection using YOLOv7 | Part 212:13
Training Custom YOLOv7| Face Mask Detection using YOLOv7 | Part 323:04
Personal Protective Equipment Detection using YOLOv7 | Part 112:44
Personal Protective Equipment Detection using YOLOv7 | Part 213:17
Personal Protective Equipment Detection using YOLOv7 | Part 318:22

Potholes Detection Part117:26
In the lecture, potholes detection part1:
In the first step, the images of potholes are gathered from Kaggle.
In the second step, to annotate the data of potholes, and to convert them into Pytorch format, we used Roboflow.
In the third step, after uploading the images data on Roboflow, each image is annotated and ecported into the Pytorch format.
Potholes Detection Part216:49
In the lecture, potholes detection part2,
In the first step, all the required libraries are imported.
In the second step, the YOLOv8 is installed via pip.
In the third step, the dataset is exported from Roboflow into the google colab.
In the fourth step, the YOLOv8 model is trained on the potholes dataset.
In the fifth step, the model performance analysis is done considering the Mean Average Precision, Confusion Matrix, training and the validation loss.
In the sixth step, the fine tuned YOLOv8 model is tested on Images and Videos.

Introduction to Multi-Object Tracking11:55
This lecture presents an introduction to Multi Object Tracking.
Following topics are covered in this lecture:
1. Introduction to Tracking
2. Why we need an Object Tracker
3. Applications of Tracking
4. Types of Trackers
5. What is DeepSORT
6. Simple Online Real Time Tracking
7. Issues in the SORT Algorithm
8. How DeepSORT solves these issues
Implementing YOLOv7 with Multi-Object Tracker DeepSORT Algorithm35:41
Traffic Counting using YOLOv7 and DeepSORT Object Tracking14:46
Car Velocity Calculation + Traffic Counting using YOLOv7 and Object Tracking11:28
Vehicles Counting (Entering and Leaving) using YOLOv7 & DeepSORT Object Tracking16:58
Car Velocity Calculation + Vehicles Counting (Entering and Leaving)13:53

Requirements

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

Description

Unlock the Power of Computer Vision with our YOLOv7 YOLOv8 YOLO-NAS Crash Course (3 COURSES IN 1 )- Learn Object Detection, Segmentation, Tracking, and Pose Estimation Techniques, Build Web Apps, and Dive into Real-World Projects.
Our YOLOv7 YOLOv8 YOLO-NAS Crash Course Features Over 22 Exciting Projects to Help You Master Object Detection, Segmentation, Tracking, and Pose Estimation!
What will you learn in this course:
Introduction to Object Detection
Overview of CNN, RCNN, Fast RCNN, Faster RCNN, Mask R-CNN
Introduction to YOLO Algorithm
YOLOv7 Paper Review
Measuring Accuracy in Computer Vision
Intersection Over Union (IOU)
Non-Max Suppression (NMS)
YOLOv7 Object Detection on Images, Video in Google Colab

What's New in YOLO-NAS | Is YOLO-NAS the Future of Object Detection?

YOLO-NAS Object Detection | Run YOLO-NAS in 1 CLICK - Google Colab

YOLO-NAS Object Detection with Webcam in Real Time

How to train YOLO-NAS using custom dataset

Introduction to YOLOv8

Running YOLOv8 on Windows

Running YOLOv8 in Google Colab
Training Custom YOLOv7| Face Mask Detection using YOLOv7
Personal Protective Equipment Detection using YOLOv7

Training Custom YOLOv8 | Potholes Detection using YOLOv8
Introduction to Multi-Object Tracking
Implementing YOLOv7 with Multi-Object Tracker DeepSORT Algorithm
Traffic Counting using YOLOv7 and DeepSORT Object Tracking
Car Velocity Calculation + Traffic Counting using YOLOv7 and Object Tracking
Vehicles Counting (Entering and Leaving) using YOLOv7 & DeepSORT Object Tracking
Car Velocity Calculation + Vehicles Counting (Entering and Leaving)

Implementing YOLOv8 with Multi-Object Tracker DeepSORT Algorithm

Implementing YOLOv8 with Multi-Object Tracker DeepSORT Algorithm | Google Colab
YOLOv7 Segmentation
Run YOLOv7 Segmentation on Google Colab
YOLOv7 Segmentation with Tracking
YOLOv8 Segmentation on Custom Dataset | Potholes Segmentation
Estimate the Pixel Area of Each Segmentation Mask

YOLOv8 Segmentation

Run YOLOv8 Segmentation on Google Colab

YOLOv8 Segmentation with Tracking
Vehicles Intensity Heatmaps | Vehicles Counting | Tracking using YOLOv7
Privacy Blurring using YOLOv7 with Object Tracking
Fire Detection System using YOLOv7
Plastic Bottles Counting on Manufacturing Lines
Waste Detection and Segmentation using YOLOv7
License Plate Detection and Recognition using YOLOv7

Basketball Player and Ball Detection, Tracking and Speed Estimation with Web App
Run YOLOv7 Pose Estimation Model | Google Colab
Crunch Counter using YOLOv7 Pose Estimation
Push Up Counter using YOLOv7 Pose Estimation
Tennis Shots Identification YOLOv7 Pose Estimation and LSTM (Theoretical Lesson)
Tennis Shots Identification using YOLOv7 Pose Estimation and LSTM Model
Badminton Shots Identification using YOLOv7 Pose Estimation and LSTM Model
Web Development Tutorial
Integration of YOLOv7 with Flask
Privacy Blurring Web App
Vehicles Counting Entering and Leaving Web App
Real Time Sign Language Alphabets Detection using YOLO-NAS

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 YOLOv7 & YOLOv8 for Object Detection
Building Deep learning Apps with Computer Vision
Building Web Apps with Computer Vision

YOLOv7 YOLOv8 YOLO-NAS: Object Detection, Tracking & WebApp

What you'll learn

Explore related topics

Course content

YOLOv7 Introduction8 lectures • 1hr 52min

YOLO-NAS : New Object Detection Model1 lecture • 5min

YOLO-NAS Implementation1 lecture • 16min

YOLOv8 Introduction1 lecture • 8min

YOLOv8 Implementation2 lectures • 51min

Training Custom YOLOv76 lectures • 1hr 43min

Training Custom YOLOv82 lectures • 34min

Training YOLO-NAS on Custom Dataset1 lecture • 29min

YOLO-NAS Object Detection with Webcam in Real Time1 lecture • 34min

YOLOv7 Object Tracking6 lectures • 1hr 45min

Requirements

Description

Who this course is for: