AI / ML

Food Plating Analysis

Exploring lightweight ways to identify food positions and arrangements on serving plates.

My role
AI Engineer Intern
Context
Research exploration
Year
2026
In this projectOverview

Overview

Exploring lightweight ways to identify food positions and arrangements on serving plates.

Contribution and scope

Compared mathematical image-analysis approaches and existing segmentation models.

Prioritized positions and arrangements, with food-component completeness as a secondary objective. Model names and performance figures are not reconstructed from memory.