dotnet-serverless-imagerecognition

The Image Recognition and Processing Backend reference architecture demonstrates how to use AWS Step Functions to orchestrate a serverless processing workflow using AWS Lambda, Amazon S3, Amazon DynamoDB and Amazon Rekognition.

lambda

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28 Stars

35 Forks

28 Watchers

CSS Language

mit-0 License

Cost to Build

$67.3K

Market Value

$141.6K

How is this calculated?

Growth over time

3 data points · 2022-11-01 → 2025-09-01

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What is the aws-samples/dotnet-serverless-imagerecognition GitHub project? Description: "The Image Recognition and Processing Backend reference architecture demonstrates how to use AWS Step Functions to orchestrate a serverless processing workflow using AWS Lambda, Amazon S3, Amazon DynamoDB and Amazon Rekognition.". Written in CSS. Explain what it does, its main use cases, key features, and who would benefit from using it.

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git clone https://github.com/aws-samples/dotnet-serverless-imagerecognition.git

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[email protected]:aws-samples/dotnet-serverless-imagerecognition.git

Download ZIP

Download master.zip

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