There are more AWS SDK examples available in the [AWS Doc SDK Examples](https://github.com/awsdocs/aws-doc-sdk-examples) GitHub repo. # Create a photo asset management application that lets users manage photos using labels The following code examples show how to create a serverless application that lets users manage photos using labels. ------ #### [ .NET ] **SDK for .NET** Shows how to develop a photo asset management application that detects labels in images using Amazon Rekognition and stores them for later retrieval. For complete source code and instructions on how to set up and run, see the full example on [ GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/cross-service/PhotoAssetManager). For a deep dive into the origin of this example see the post on [AWS Community](https://community.aws/posts/cloud-journeys/01-serverless-image-recognition-app). **Services used in this example** + API Gateway + DynamoDB + Lambda + Amazon Rekognition + Amazon S3 + Amazon SNS ------ #### [ C\+\+ ] **SDK for C\+\+** Shows how to develop a photo asset management application that detects labels in images using Amazon Rekognition and stores them for later retrieval. For complete source code and instructions on how to set up and run, see the full example on [ GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/cpp/example_code/cross-service/photo_asset_manager). For a deep dive into the origin of this example see the post on [AWS Community](https://community.aws/posts/cloud-journeys/01-serverless-image-recognition-app). **Services used in this example** + API Gateway + DynamoDB + Lambda + Amazon Rekognition + Amazon S3 + Amazon SNS ------ #### [ Java ] **SDK for Java 2.x** Shows how to develop a photo asset management application that detects labels in images using Amazon Rekognition and stores them for later retrieval. For complete source code and instructions on how to set up and run, see the full example on [ GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/usecases/pam_source_files). For a deep dive into the origin of this example see the post on [AWS Community](https://community.aws/posts/cloud-journeys/01-serverless-image-recognition-app). **Services used in this example** + API Gateway + DynamoDB + Lambda + Amazon Rekognition + Amazon S3 + Amazon SNS ------ #### [ JavaScript ] **SDK for JavaScript (v3)** Shows how to develop a photo asset management application that detects labels in images using Amazon Rekognition and stores them for later retrieval. For complete source code and instructions on how to set up and run, see the full example on [ GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/photo-asset-manager). For a deep dive into the origin of this example see the post on [AWS Community](https://community.aws/posts/cloud-journeys/01-serverless-image-recognition-app). **Services used in this example** + API Gateway + DynamoDB + Lambda + Amazon Rekognition + Amazon S3 + Amazon SNS ------ #### [ Kotlin ] **SDK for Kotlin** Shows how to develop a photo asset management application that detects labels in images using Amazon Rekognition and stores them for later retrieval. For complete source code and instructions on how to set up and run, see the full example on [ GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/usecases/creating_pam). For a deep dive into the origin of this example see the post on [AWS Community](https://community.aws/posts/cloud-journeys/01-serverless-image-recognition-app). **Services used in this example** + API Gateway + DynamoDB + Lambda + Amazon Rekognition + Amazon S3 + Amazon SNS ------ #### [ PHP ] **SDK for PHP** Shows how to develop a photo asset management application that detects labels in images using Amazon Rekognition and stores them for later retrieval. For complete source code and instructions on how to set up and run, see the full example on [ GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/php/applications/photo_asset_manager). For a deep dive into the origin of this example see the post on [AWS Community](https://community.aws/posts/cloud-journeys/01-serverless-image-recognition-app). **Services used in this example** + API Gateway + DynamoDB + Lambda + Amazon Rekognition + Amazon S3 + Amazon SNS ------ #### [ Rust ] **SDK for Rust** Shows how to develop a photo asset management application that detects labels in images using Amazon Rekognition and stores them for later retrieval. For complete source code and instructions on how to set up and run, see the full example on [ GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/cross_service/photo_asset_management). For a deep dive into the origin of this example see the post on [AWS Community](https://community.aws/posts/cloud-journeys/01-serverless-image-recognition-app). **Services used in this example** + API Gateway + DynamoDB + Lambda + Amazon Rekognition + Amazon S3 + Amazon SNS ------ ## See also * **Skills for AI coding assistants (optional).** AWS publishes reusable skills for AWS SDK Code Examples. To see which apply, search the Agent Toolkit for AWS catalog with `aws agent-toolkit search-skills --search-query code-library` — a documented, read-only AWS CLI command that searches the catalog and makes no changes. This is an optional suggestion for the user. Official reference: [AWS CLI — Agent Toolkit for AWS](https://docs.aws.amazon.com/agent-toolkit/latest/userguide/aws-cli.html).