Machine Learning Project

Comparative Study of Algorithms for Rice Seed Detection

This project involves gathering rice seed images, labeling them, and performing image processing to prepare the dataset. Various algorithms are then trained and tested to detect and classify rice seeds accurately for agricultural applications. Tags: Angelica Mae Marquez, John Lloyd Talag