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1
Introduction
2
Presentation Format
3
Career Letter
4
Glass Ceiling
5
The Problem
6
Models Arent Everything
7
Object Detection
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Phase Detector
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Face Detector
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Data Sets
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Questions
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Example
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Detect with two classes
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Real time example
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Biggest mistake
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Examples
17
Question
18
Key Points
19
Training
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Web Apps
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Summary
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Thank you
23
QA
Description:
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.

Detecting Masked Faces in the Pandemic World

Abhishek Thakur
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