This project is a serverless application that uses AWS services to provide image description based on AWS Rekognition and Bedrock services. It's designed to help you analyze and describe the content of images.
- Automatic image description using AWS Rekognition.
- Serverless architecture for cost-efficiency and scalability.
- API Gateway for easy integration with other services.
Before you begin, ensure you have the following prerequisites:
- An AWS account.
- AWS CLI configured with necessary access permissions.
- AWS Serverless Application Model (AWS SAM) installed.
- Nodejs installed for local development.
- Clone this repository.
git clone https://github.com/your-username/image-vision-project.git
cd image-vision-project- Deploy the serverless application using AWS SAM.
sam build
sam deploy --guided --stack-name image-description-stack --capabilities CAPABILITY_NAMED_IAM- Your application is now deployed, and the API Gateway endpoint is available.
You can use the provided API endpoint to get image descriptions. Send a PUT request to the endpoint with an image file as input. Replace <api-gateway-url> with the actual URL.
Example using curl:
curl -X PUT -H "Content-Type: image/jpeg" --data-binary @your-image.jpg <api-gateway-url/bucket-name/object-name>Upon making the GET request to the same you will be able to fetch the results.
curl -X GET <api-gateway-url/bucket-name/object-name>- Modify the Lambda function code to handle image description based on your specific use case.
- Modify the code to use a custom bedrock model according to your requirements.
Copyright 2023 Amazon.com, Inc. or its affiliates. All Rights Reserved.
- This project was made possible by the AWS Serverless ecosystem and community contributions.
Happy image describing!