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.
- 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.