Data for: Video Semantic Segmentation for Temporally Consistent Agricultural Perception

Published: 11 June 2026| Version 1 | DOI: 10.17632/7nvjpnt6f9.1
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Description

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.

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Perception, Vegetation, Agriculture

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