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QLearn QGIS 4 compatibility
Not QGIS 4 ready Quiet
Not yet — the latest version declares max QGIS version 3.99.0, so it is not offered to QGIS 4 users.
QLearn preforms automatic training of a neural network model on raster data
About
QLearn is a plugin that allows you to train a UNet segmentation neural network architecture to segment and classify raster data. It can also use pretrained models to make predictions on raster data Required Dependencies: torch and torchvision Install with OSGeo4W Shell (pip3 install torch torchvision) QGIS Integration: Train and use machine learning models without leaving QGIS Automatic Data Preprocessing: Automatic alignment, rescaling, reclassifying, and normalization of rasters Testing and Validation: Automatically splits datasets into training and evaluation sets and provides model evaluation metrics Confidence Filtering: Optional filtering of predictions based on confidence levels Multiband Support: Works with any number of input bands and output classes
| Author | Adam B |
|---|---|
| Downloads | 1,397 |
| Latest version | 1.0 |
| Last updated | 2025-04-07 (557 days ago) |
| Min QGIS | 3.26.2 |
| Max QGIS | 3.99.0 |
| QGIS 4 ready | No |
| Maintenance | Quiet |
| Category | AI & machine learning |
| Tags | classification, processing, neural network, training, raster, segmentation, analysis, image recognition, machine learning |
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Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.