AI for Food Image Generation in Production: How & Why

In this talk, we will conduct a technical overview of a client-facing Food Image Generation solution developed at Delivery Hero. We will explore step-by-step the stages of the product development cycle starting from an initial business hypothesis, following up with the fast-to-market product validation MVP and the full-scale productization phase that enabled generating 100,000 images per day.

The first focus of our discussion will be on the modern approaches in Image Generation that enable the generation of high-quality food-related visual content. We will explore the challenges of experimenting with the image generation models, the evaluation techniques and the ways to fine-tune these models. We'll also cover a set of advanced Computer Vision methods that help maintain high standards of visual content quality by automatic validation of the images across dimensions like positioning, colour balance, appropriateness and content relevance.

We will also consider the practical aspects of serving and scaling the visual models in production depending on the maturity level of the product and the infrastructure. Following up with the technical stack, we will outline the most appropriate approaches for each of the stages focusing on cost-efficiency, as well as the architectural decisions made at Delivery Hero to host and scale a zoo of visual models.