Data for: Video Semantic Segmentation for Temporally Consistent Agricultural Perception

This repository contains the MATLAB implementation used for the training and evaluation of several semantic segmentation models for video-based vegetation analysis. The framework processes a collection of videos, generates the required training data, trains multiple segmentation models, and evaluates their performance according to the metrics described in the associated paper.