[general]
name=Baru Validator
qgisMinimumVersion=3.0.0
description=QGIS plugin for validating machine learning models for Baru detection. Supports raster and vector classification inputs, calculates Kappa, QADI, F1-Score, MCC, and other advanced metrics for model quality assessment.
version=2.0.0
author=Leandro da Silva Gregorio
email=leandrogeosmart@gmail.com
about=Baru Validator is a comprehensive QGIS plugin designed for validating machine learning models used in Baru detection across satellite imagery (Sentinel 10m, Sentinel 1m, Google Earth). The plugin compares classified raster/vector data against validation datasets (points or polygons) and provides advanced accuracy metrics including Cohen's Kappa, QADI index, F1-Score, Matthews Correlation Coefficient (MCC), Producer's Accuracy, User's Accuracy, and confusion matrices. Ideal for assessing model generalization when replicating trained models across different geographic areas without collecting new training samples.
tracker=https://github.com/LeandroGregorio7/baru
repository=https://github.com/LeandroGregorio7/baru
homepage=https://github.com/LeandroGregorio7/baru
license=GPL-3
license_file=LICENSE
hasProcessingProvider=no
tags=qgis,baru,machine learning,model validation,remote sensing,satellite imagery,accuracy assessment,kappa,F1-score,confusion matrix
category=Raster
icon=icons/baru_icon.png
experimental=False
deprecated=False
server=False
