Image annotation for coins
In this project, I developed a machine learning model designed to detect and count Egyptian coins in images. The model was trained using a dataset of annotated images that included various Egyptian coin types, focusing on distinguishing features such as size, inscriptions, and design patterns. This project aimed to create a robust solution capable of accurately identifying and counting coins under diverse conditions, including different lighting, angles, and image backgrounds.