3D Food Reconstruction is an innovative venture into the intersection of computer vision and culinary arts, with the goal of reconstructing three-dimensional models of food items from two-dimensional images. This challenge is designed to push the boundaries of 3D reconstruction technology by applying it to a dynamic and uncontrolled setting, such as capturing food images during eating occasions. Participants will tackle the challenge of creating precise and robust 3D models from single or multiple 2D views, using a visible physical reference (checkerboard) with the known size. The checkerboard serves as a reference object to ensure that the reconstructed 3D models have the same size as the real food items, which is crucial for accurate portion estimation. The objective is to reconstruct 3D models for 20 selected food items, provided at varying levels of difficulty: simple, medium, and hard. By reconstructing 3D models with the correct size, this technology can play a vital role in tracking nutritional intake and helping individuals maintain a healthy diet. This endeavor not only aims to enhance sharing food experiences in three dimensions but also has significant potential applications in the fields of nutrition and health monitoring.