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GeoSeg Studio QGIS 4 compatibility
QGIS 4 ready Active
Yes — GeoSeg Studio supports QGIS 4 (declared max version 4.99.0).
Full-pipeline deep learning semantic segmentation for geospatial raster data.
About
GeoSeg Studio is a complete deep learning segmentation environment for QGIS. It covers the full workflow in one plugin: prepare training data (clip, split, augment), train your own segmentation model, evaluate performance, run predictions on new rasters, and post-process vector outputs — all without leaving QGIS. Runs on both QGIS 3 (Qt5) and QGIS 4 (Qt6). EXTERNAL DEPENDENCY: PyTorch and torchvision are not bundled. On first run the plugin offers to install them with pip into an isolated virtual environment that it manages itself; nothing outside that environment is modified. This requires an internet connection and about 5 GB of free disk space, and can be skipped or done manually (see requirements.txt). GPU acceleration needs an NVIDIA card with driver 522.06 or newer; the installer detects the driver and preselects a matching CUDA build. On macOS, on AMD/Intel GPUs, and where no suitable NVIDIA driver is present the plugin runs on CPU, which is considerably slower for training.
| Author | Salar Ghaffarian |
|---|---|
| Downloads | 802 |
| Latest version | 1.1.1 |
| Last updated | 2026-09-12 (33 days ago) |
| Min QGIS | 3.34.0 |
| Max QGIS | 4.99.0 |
| QGIS 4 ready | Yes |
| Maintenance | Active |
| Category | AI & machine learning |
| Tags | ai, remote sensing, pytorch, u-net, deep learning, semantic segmentation, neural network, training, raster, segmentation |
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Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.