Published 1/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: 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:Beginners 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 Time 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 engineers and computer vision learners.,Beginners in computer vision learners
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