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rosealexander/ocv-dnn-serverless-performance-results

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Object Detection Performance Testing on AWS Serverless Environments

This repository contains performance test reults of various object detection algorithms (YOLO, SSD, Faster R-CNN) deployed on AWS Lambda, AWS Fargate, and SageMaker Serverless Endpoints. Tests are conducted using the OpenCV Deep Neural Networks (DNN) module.

See ocv-dnn-detector, ocv-dnn-lambda-handler.

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  • images: Images from the Common Objects in Context (COCO) dataset that have been used for testing.

  • results: Latency metrics of performance on different AWS platforms.

Licensing

Both COCO images and results are under Creative Commons 4.0.

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