Client
Challenge
Developing an augmented reality application in collaboration with Sony, incorporating AI/ML and Unity, and selecting the appropriate models for custom object detection.
Goal
To select and train models efficiently to meet project deadlines while ensuring the accuracy and reliability of the augmented reality application.
Result
Successfully integrated YOLOvX models using the Barracuda Inference Engine, contributing 25% to the project. This effort saved 20% of the project time, enabling the team to submit the project one week ahead of the deadline.
