Overview
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Explore a comprehensive talk on detecting masked faces using Deep Learning during the pandemic era. Learn from Vladimir Iglovikov, a Sr. Computer Vision Engineer at Lyft and Kaggle Grandmaster, as he shares his approach to verifying face mask usage. Discover insights into object detection, face detection, and the importance of data sets in developing effective models. Gain practical knowledge through real-time examples, understand common mistakes, and explore key points for training and implementing web applications. This informative session covers the entire process from problem definition to solution implementation, offering valuable insights for machine learning enthusiasts and professionals alike.
Syllabus
Introduction
Presentation Format
Career Letter
Glass Ceiling
The Problem
Models Arent Everything
Object Detection
Phase Detector
Face Detector
Data Sets
Questions
Example
Detect with two classes
Real time example
Biggest mistake
Examples
Question
Key Points
Training
Web Apps
Summary
Thank you
QA
Taught by
Abhishek Thakur