{"name": "Baru Validator", "package_name": "baru_validator", "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.", "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.", "homepage": "https://github.com/LeandroGregorio7/baru", "repository": "https://github.com/LeandroGregorio7/baru", "tracker": "https://github.com/LeandroGregorio7/baru", "author": "Leandro da Silva Gregorio", "tags": ["confusion matrix", "accuracy assessment", "remote sensing", "kappa", "qgis", "machine learning", "satellite imagery", "f1-score", "baru", "model validation"], "downloads": 379, "latest_version": "2.0.0", "versions": [{"version": "2.0.0", "experimental": false, "qgis_min": "3.0.0", "qgis_max": "3.99.0", "downloads": 120, "uploaded_by": "mikadishen", "upload_datetime": "2026-06-07T09:39:29.699403"}, {"version": "1.2.0", "experimental": false, "qgis_min": "3.0.0", "qgis_max": "3.99.0", "downloads": 133, "uploaded_by": "mikadishen", "upload_datetime": "2026-05-25T20:06:29.380607"}, {"version": "1.1.0", "experimental": false, "qgis_min": "3.0.0", "qgis_max": "3.99.0", "downloads": 126, "uploaded_by": "mikadishen", "upload_datetime": "2026-05-08T07:22:50.687411"}]}