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Mean Average Precision Explained and PyTorch Implementation

Offered By: Aladdin Persson via YouTube

Tags

PyTorch Courses Machine Learning Courses Deep Learning Courses Object Detection Courses

Course Description

Overview

Learn about Mean Average Precision (mAP), a crucial metric for evaluating object detection models, in this 28-minute video tutorial. Gain a thorough understanding of how mAP works and follow along with a step-by-step PyTorch implementation from scratch. Explore the concept's theoretical foundations before diving into practical coding exercises to reinforce your knowledge of this essential object detection evaluation technique.

Syllabus

Mean Average Precision (mAP) Explained and PyTorch Implementation


Taught by

Aladdin Persson

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