Workshop Instructions: Amazon SageMaker Ground Truth

End to End lab to build an Object Detection Model

Step 1

How to start the Workshop?

1. If you are using Event Engine for the workshop , go to the following link and add the hash provided . https://dashboard.eventengine.run/login

2. After adding the hash ,you will be the part of the Team Dashboard .

3. Click on the "AWS Console" in the Team Dashboard and further click on the Open AWS Console.



This workshop will be run in us-east-1 region only . Please make sure all the steps are in the us-east-1 region.

Step 2

Accessing the Jupyter Notebook


1. Go to

AWS Console > Amazon SageMaker > Notebook Instances


2. Wait for the server status to change to InService. This will take a few minutes.
3. Click on the "Open Jupyter" for the pre-created 'GroundTruth-Reinvent' notebook instance .
4. Click on the folder "notebook" to access the notebook. workshop_guide.ipynb notebook by double clicking on it.
5. If prompted for the kernel, Choose “conda_python3”


6. You are ready to go but first we need to setup the labeling job. NOTE: The first cell of this notebook will define the S3 bucket with the default name defined by Sagemaker. This will follow the format "sagemaker-<region>-<account-id>"

Step 3

Follow the Instructions in the Notebook

End Of the Instructions

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