Home

The Team

• Abel: Frontend Engineer
• Leong Hock: AI Engineer
• Ambrose: Frontend Engineer
• Ming Shan: DevOps Engineer
• Angelico: Backend Engineer
• Osbert: AI Engineer

*Roles taken in this task are not indicative of the roles that we will take on for the Final Year Project.

The Mission

Main

• ✅ Accept an image input.
• ✅ Transfer the image to a backend server.
• ✅ Run an off-the-shelf YOLO model to detect objects.
• ✅ Return the object bounding box coordinates in the API to the frontend.
• ✅ Store the bounding boxes for the image in a database with the image identifier being the MD5 hash for the image.
• ✅ Display the image with the bounding boxes overlaid.

Bonus

• ✅ Allow the user to add new bounding boxes in the frontend.
• ✅ Update DB record for this image with the new bounding boxes.
• ✅ Auto tag objects detected in the images and show tags associated with the image in the frontend.

Table of Contents

• 01. Deployment. A guide on getting the task up and running.
• 02. Application Walkthrough. A step by step run through of our web application.
• 03. API. Documentation on our API.
• 04. Credits. The tools we used to complete this task.