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Serverless Image Catalog

Photo sharing websites often allow users to publish user-generated content such as text, images, or videos. Manual content review and categorization can be challenging. This solution enables the automation of these tasks. See the AWS Blog post Building a serverless image catalog with AWS Step Functions Workflow Studio for a detailed walkthrough.

The example implements the following workflow:

1. An image stored in Amazon S3 is checked for inappropriate content using the Amazon Rekognition DetectModerationLabels API.
2. Based on the result of (1), appropriate images are forwarded to image processing while inappropriate ones trigger an email notification.
3. Appropriate images undergo two processing steps in parallel: the detection of objects and text in the image via Amazon Rekognition’s DetectLabels and DetectText APIs. The results of both processing steps are saved in an Amazon DynamoDB table.
4. An inappropriate image triggers an email notification for manual content moderation via the Amazon Simple Notification Service (SNS).

This repository contains two AWS Serverless Application Model (AWS SAM) templates:

1. starter/template.yml intended as the starting point for following the walkthrough in the AWS Compute Blog post Building a serverless image catalog with AWS Step Functions Workflow Studio.
2. solution/template.ymlfor deploying the completed serverless image catalog solution.

Prerequisites

• An AWS account
• An AWS user with AdministratorAccess (see the instructions on the AWS Identity and Access Management (IAM) console)
• AWS SAM CLI using the instructions here

Deploy using SAM

Step 1: Clone repository

git clone [email protected]:pbv/serverless-image-catalog.git

Step 2: Build the template

cd serverless-image-catalog/solution
sam build

Step 3: Deploy the application

sam deploy --guided

Security

See CONTRIBUTING for more information.

License

This library is licensed under the MIT-0 License. See the LICENSE file.