Deep Dive into Object Detection with YOLO
INTERACTIVE COURSE

Deep Dive into Object Detection with YOLO

Intermediate

41 Lessons

10h

Certificate of Completion

Deep Dive into Object Detection with YOLO
1 Project
25 Playgrounds
82 Illustrations

Takeaway Skills

An understanding of different types of object detection models

An understanding of YOLO architecture and its significance in object detection

Familiarity with core concepts of YOLO, including Intersection over Union (IoU) and non-maximum suppression (NMS)

Hands-on experience implementing data augmentation techniques for improved model performance

Working knowledge of overfitting, its implications, and methods to prevent it

An understanding of topics like batch normalization, optimizers in YOLO, learning rate scheduling, mAP score evaluation, and loss calculations for object detection

Course Overview

Object detection has revolutionized the field of computer vision, security, autonomous driving, and more. Among the various algorithms available, YOLO stands out due to its efficiency and accuracy. This course dives deep into the YOLO architecture, highlighting its significance in object detection. The course starts with the YOLO architecture, followed by tackling overfitting and mastering data augmentation. It delves into core YOLO concepts IoU and NMS, real-time object detection, data augmentation, and o...Show More

Course Content

1

Introduction to Object Detection

2

Fundamentals for Understanding YOLO

3

YOLOv7 Architecture

4

Improving Model Performance: Handling Overfitting/Underfitting

5

Pre-Trained Models, Fine-Tuning, and Hyperparameters in OD

Sun Detection Using YOLOv8

Project

6

Conclusion

1 Lesson

COURSE AUTHOR

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Progress You Can Show

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