Search results for "deep learning" (37 items found)
Provides GUI access to Flai’s Open Lidar Data Hub and local control over the Flai CLI for AI-powered geospatial classification.
2026-04-10T11:07:53.841791+00:00
Deep learning-based segmentation of skid trails from airborne LiDAR data
2026-05-26T09:02:59.680731+00:00
This plugin is used for calculaitng image (raster) index values based on RGB images. The index calculation formulas are based …
2026-07-15T09:12:16.357730+00:00
Comprehensive tool for Polish urban planning analysis (Building Permit Conditions - Warunki Zabudowy)
2026-07-13T17:02:42.513031+00:00
Este plug-in permite detectar automáticamente 3 especies de palmeras en imágenes RGB adquiridas con RPAs:aguaje (Mauritia flexuosa), huasai (Euterpe precautoria) …
2026-04-20T16:11:00.330669+00:00
Deep-learning semantic segmentation of aerial LiDAR point clouds with a 3D SegFormer model (TreeAIBox / NRCan).
2026-05-19T14:33:33.089179+00:00
Deep learning-based object detection in raster data using YOLO models within QGIS.
2026-08-09T10:33:44.517286+00:00
YOLOX-based object detection plugin for GPS-synchronized videos with GeoPackage export
2026-02-05T12:55:39.474366+00:00
AI-powered geospatial analysis assistant that executes QGIS operations through natural language
2026-06-22T07:44:44.128561+00:00
AI building-level damage classification from pre/post-disaster RGB imagery, using a Siamese U-Net ensemble running on ONNX Runtime.
2026-06-11T17:22:38.193511+00:00
Full-pipeline deep learning semantic segmentation for geospatial raster data.
2026-04-04T22:31:24.076373+00:00
A QGIS plugin for quantitative precipitation forecasting using deep learning models. This plugin utilizes radar data to predict rainfall patterns …
2025-10-15T00:18:13.805483+00:00
Automatic geological fracture mapping from RGB orthophoto and DEM
2026-07-29T14:02:34.601057+00:00
Earth-observation toolkit for QGIS: STAC search, classical + deep-learning classification, time-series change detection.
2026-06-04T20:25:11.532194+00:00
The plugin offers diverse options of loss function and deep learning models to be applied on LandScan population rasters of …
2026-05-31T21:37:24.848630+00:00
Extract and manipulate deep learning features from rasters with timm and scikit-learn.
2026-08-26T13:31:41.873136+00:00