Published 1/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 761.67 MB | Duration: 1h 33m

Object detection using YOLOv5 and YOLOv7 models, and save the log files into local directory and wandb

What you'll learn

You will learn about what is yolo and how it's functions. Theoretical concepts of the yolo algorithm.

After completing this course you can develop your computer vision project using yolo models

Here 3 projects are developed using custom datasets, and YOLOv5 and YOLOv7 both the algorithms are used for this project development.

This course aims to deliver a content in simplest manner. I hope the learners easily understand and implement their own projects using these algoithms.

Requirements

Basic knowledge in python, image processing and computer vision algorithm

Description

You will learn about what is yolo and how it functions. Theoretical concepts of the Yolo algorithm. This course aims to deliver content in the simplest manner. Here 3 projects are developed using custom datasets, and YOLOv5 and YOLOv7 both algorithms are used for this project development. After completing this course you can develop your computer vision project using Yolo models. I hope the learners easily understand and implement their own projects using these algorithms.Detect objects using YOLO, one of the most powerful techniques for this taskRecognize gestures and actions in videos using OpenCVSave and sync the log files, validation loss, precision, accuracy graphs, and validation prediction images all details are saved in the local directory.At end of the course, you are capable of developing your own computer vision and object detection model.Who this course is for:Bners who are starting to learn Computer Vision and Object DetectionUndergraduate students who are studying subjects related to Artificial IntelligencePeople who want to solve their own problems using Computer VisionStudents who want to work in companies developing Computer Vision projectsPeople who want to know all areas inside Computer Vision, as well as know the problems that these techniques are able to solveAnyone interested in Artificial Intelligence or Computer VisionData scientists who want to grow their portfolioProfessionals who want to understand how to apply Computer Vision to real projectsRequirements:Basic knowledge of PythonBasic knowledge of Object detection and computer vision

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Introduction

Section 2: Understanding of YOLO model and theoretical concepts

Lecture 3 Real Object Detectors

Lecture 4 What is YOLO?

Lecture 5 Image Annotation

Lecture 6 Bounding Box -> coco model and yolo model

Section 3: Project-1 Vehicle Detction using YOLOv5

Lecture 7 YOLOv5 model

Lecture 8 Code-1: Introduction and basic setup

Lecture 9 Code-2: Read the image and label file

Lecture 10 Code-3: Copy the image and label files into respective directories

Lecture 11 Code-4: Final Model Creation

Section 4: Project-2 Face mask Detection using YOLOv5

Lecture 12 Code: Face mask detection using YOLOv5

Section 5: Project-3 Brain Tumor Detection using YOLOv7

Lecture 13 YOLOv7 model

Lecture 14 Code: Brain Tumor detection using YOLOv7 model

Section 6: Conclusion

Lecture 15 Thank You!!!

The machine learning eeers and computer vision learners.,Bners in computer vision learners

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