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YOLO-MOD 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.
Deep learning-based object detection in raster data using YOLO models within QGIS.
About
YOLO-MOD is a QGIS plugin that enables the application of YOLO-based object detection models directly to georeferenced raster data within standard GIS workflows. The plugin supports multi-class detection (e.g. ships, aircraft, helicopters, airports, storage tanks) and integrates both PyTorch (.pt) and ONNX (.onnx) model formats. It provides tools for exporting map extents, generating YOLO-format annotations, and previewing detection results. The plugin is designed for users with limited machine learning experience and supports reproducible remote sensing analysis.
| Author | Mateusz Strzelecki, Marcin Ciecholewski |
|---|---|
| Downloads | 1,165 |
| Latest version | 2.1.1 |
| Last updated | 2026-08-09 (68 days ago) |
| Min QGIS | 3.40.0 |
| Max QGIS | 3.99.0 |
| QGIS 4 ready | No |
| Maintenance | Active |
| Category | AI & machine learning |
| Tags | pytorch, remote sensing, onnx, object detection, deep learning, qgis, yolo, raster |
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Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.