FoodSight: An Image Segmentation Dataset for Canteen Food Consumption and Waste

This dataset was collected as part of a student-led research project funded by a grant from the University of Padova. The project focuses on monitoring food consumption and waste in canteens using an advanced Computer Vision system. By leveraging image segmentation techniques, the dataset enables precise analysis of food portions before and after meals, providing valuable insights into consumption patterns, waste reduction strategies, and future food demand prediction. Ultimately, the goal is to promote sustainability, enhance food quality, and optimize meal pairings to improve customer satisfaction.本数据集采集自帕多瓦大学（University of Padova）资助的学生主导研究项目。该项目依托先进的计算机视觉（Computer Vision）系统，旨在监测食堂的食物消耗与浪费情况。通过运用图像分割技术，本数据集可实现用餐前后食物分量的精准分析，为食物消耗模式、减损策略及未来食物需求预测等领域提供极具价值的研究洞察。本项目的最终目标是推动可持续发展、提升食物品质，并优化餐食搭配以提高就餐者满意度。