Object detection using Machine Learning

This project demonstrates how to implement object detection using machine learning techniques

This solution consists of three projects:

1. ObjectDetectionMachineLearning.WEb - Blazor serverside app

The blazor serverside app is the client. It will contact a ML.NET minimal API that will do the number churning and return the object detection results. The results are then displayed in the browser.

HTML 5 Canvas and Js is used to display the image and bounding boxes of the detected objects. A summary table is also displayed with the detected objects and their confidence levels.

StopSignDetection_WebApi1 - ML .NET minimal API

This is the server side of the application. It will load a pre-trained model and use it to detect objects in images.

Object detection tutorial

This project is based on the Object detection tutorial from Microsoft. Also I have added additional code for the endpoints to upload images and get the object detection results.