• Post category:StudyBullet-4
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Apply the power of Yolo to any media source

What you will learn

 

Collect Images for dataset from multiple sources

 

Techniques of labeling images strategically

 

Building Yolo V3 tiny model using free GPU

 

Resources on where to get help.

Description

Have you ever wanted to have a step by step guide that can help you create your own Yolo V3 Object Detector? Go no further!

 

This course will teach you how to create a custom object detector that will be used to detect text boxes across Video games and Breaking news banners.

This Course will teach you various ways to collect data from free sources including Youtube Videos.

Next we explore the Software Vott and learn how to setup the project and label images like a pro.

After this, you learn how to build your Object Detector for Free using Google Colab Free GPU.


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Finally we wrap this up by verifying that your object detector works on both images and video feed.

 

By completing this course you gain the ability to find a new way to analyze footage with computer vision. There is plenty of information on the screen that can be detected and extracted for processing.

This fundamental course will prepare you for when you want to take on Automated Text Extract and labeling course.

In the followup course, you will learn how to take this skill to the next level and open the door to applications not tapped into by many.

 

English
language

Content

Introduction
What we’re building
Course Materials + Prerequisites
Data Gathering
Collecting Data
Splitting Data, Training Testing
Setup Vott Project
Labeling Images
Building Yolo V3 Tiny Model
Exporting Vott Project
Build Yolo V3 Model With Docker
Build Yolo V3 Model With Google Colab
Verifying Yolo V3 Model works
Yolo Verification Repo Overview
Verify Yolo V3 Model Works Locally
Verify Yolo V3 Model Works On Google Colab
Course Wrap Up
Conclusion And Next Steps