Amazon SageMaker

For Amazon Sagemaker part, I have initialized the git repo from the terminal of JupyterLab on AWS platform. I added git remote URL to connect JupyterLab terminal to Github server.

Identifying Bees Using Crowd Sourced Data using Amazon SageMaker

Table of contents

Introduction to dataset

Labeling with Amazon SageMaker Ground Truth
Reviewing labeling results
Training an Object Detection model
Review of Training Results
Model Tuning
Cleanup

Need to Know beside following video Getting Started with AWS Machine Learning

Make sure to setup your own S3 Bucket
Just follow up the course (Getting Started with AWS Machine Learning) and practice on your own. Please do not use demo.ipynb from my repo since I updated it with my information. You need implement your own to learn how python coding works for computer vision.