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Baru Validator QGIS 4 compatibility
Not QGIS 4 ready Active
Not yet — the latest version declares max QGIS version 3.99.0, so it is not offered to QGIS 4 users.
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.
| Author | Leandro da Silva Gregorio |
|---|---|
| Downloads | 850 |
| Latest version | 2.0.0 |
| Last updated | 2026-06-07 (130 days ago) |
| Min QGIS | 3.0.0 |
| Max QGIS | 3.99.0 |
| QGIS 4 ready | No |
| Maintenance | Active |
| Categories | Remote sensing, AI & machine learning |
| Tags | remote sensing, kappa, machine learning, f1-score, baru, qgis, model validation, satellite imagery, confusion matrix, accuracy assessment |
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Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.