We developed an object detection system designed to identify and estimate the volume and weight of 12 major types of fruits and vegetables, representing approximately 60% of the produce in Tunisia. Using the YOLO (You Only Look Once) model for object detection and custom methodologies for volume and weight estimation, the system provides an efficient and automated solution for agricultural applications such as market analysis, logistics, and quality control. This report outlines the data collection process, model selection, object detection implementation, volume and weight estimation techniques, and evaluation steps, culminating in a comprehensive summary of the project’s methodology and outcomes.