what you'll 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.
Requirements
- Basic Experience With Opencv Python
- Access to Google Colab or Docker
- The ability to install the application Vott
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.
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.
Who this course is for:
- Computer Vision developers who want to learn how to make unique object detectors
https://www.udemy.com/course/create-custom-object-detector-for-games-and-news-stories/
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