Intermediate
41 Lessons
10h
Certificate of Completion
AI-POWERED
AI-POWERED
This course includes
This course includes
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...
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
What You'll Learn
An understanding of different types of object detection models
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Course Content
Introduction to Object Detection
Fundamentals for Understanding YOLO
YOLOv7 Architecture
Improving Model Performance: Handling Overfitting/Underfitting
Pre-Trained Models, Fine-Tuning, and Hyperparameters in OD
Sun Detection Using YOLOv8
Project
Conclusion
1 Lesson
Course Author
Trusted by 1.4 million developers working at companies
Anthony Walker
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Emma Bostian 🐞
@EmmaBostian
Evan Dunbar
ML Engineer
Carlos Matias La Borde
Software Developer
Souvik Kundu
Front-end Developer
Vinay Krishnaiah
Software Developer
Eric Downs
Musician/Entrepeneur
Kenan Eyvazov
DevOps Engineer
Anthony Walker
@_webarchitect_
Emma Bostian 🐞
@EmmaBostian
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