24-2-mlops-project-car_object_detection

Deploy a full Mlops Object detection Web application that detects cars and motobikes!

Note

Documentation

Web App

Features:

• Download and preprocess the Stanford Cars Dataset.
• Data versioning with DVC.
• Train model with YOLO and export in ONNX format.
• AWS API Gateway is created using an AWS Lambda function inside an AWS ECR that make predictions using the trained model.
• AWS S3 Bucket used for storing Dataset versions and the model that will be used by the Lambda function.
• Documentation created using Sphinx and deployed using Github Pages.
• Web Application deployed using Heroku.
• Automated pipeline to deploy all the infrastructure to production using Github Actions.
• Local logging and also CloudWatch logging (for the lambda function).