Traffic_sign_Classification_with_Deep_Learning_using_AWS-Sagemaker

Classifying Traffic Sign (GTSRB - German Traffic Sign Recognition Benchmark) across 40 different classes with Deep Learning Using AWS (Amazon Web Service) Sagemaker Studio and Deploying in Aws Cloud.

Dataset Link - Here

Predicted Results

Steps:

• Create AWS Account
• Goto AWS Sagemaker
• Create a User
• Goto Sagemaker Studio
• Create or Upload a Notebook
• Upload Data, then add to S3 Bucket
• Use Sagemaker Session, Boto3 to Work with Data, Create Models, Compute and Building Model ...
• Upload Models (artifacts, Model, Result) to S3 Bucket.
• Create an Endpoint to Deploy the model Using Sagemaker.
• [Further integrate Labmbda - API to deploy]
• Finally Delete the Endpoint to stop charging in AWS Billing.

README Documentation is in progress :)