Stage Innovation : Ingénieur Computer Vision / Véhicule Autonome Coopératif
Core
Develop an end-to-end pipeline to automatically estimate the nutritional contribution of a meal from images.
Role type
Computer Vision Intern (Nutrition Estimation)
Builds
A full pipeline combining barcode detection, nutritional info extraction, image-based portion segmentation, and sugar intake calculation.
Domain
Health tech / Computer Vision
Deliverable
production ML models
Required skills
Computer vision (detection, segmentation, image processing), Python development, database manipulation, prototyping and model evaluation methodology
Preferred skills
Scientific rigor, critical thinking, curiosity for research, interest in digital health
Technologies
Python
Responsibilities
Develop barcode detection modules; Extract nutritional information; Perform image segmentation and portion estimation; Calculate sugar intake metrics
Seniority
Intern (Master 1 level)