Deep Dive into Object Detection with YOLO

Intermediate

41 Lessons

10h

Certificate of Completion

AI-POWERED

Explanations

This course includes

1 Project

25 Playgrounds

82 Illustrations

This course includes

1 Project

25 Playgrounds

82 Illustrations

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

TAKEAWAY SKILLS

Machine Learning

Image Augmentation

What You'll Learn

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 Content

Introduction to Object Detection

Getting Started

Introduction Why Is Object Detection Important?

Types of Object Detection Algorithms Why Is YOLO So Popular?

Fundamentals for Understanding YOLO

Basics of the Convolutional Neural Network (CNN): Part I Basics of Convolutional Neural Network (CNN: Part II

Understanding IoU (Intersection over Union)/Jaccard Index