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
2025-10-09T18:06:14.812275+00:00
This plugin is used for calculaitng image (raster) index values based on RGB images. The index calculation formulas are based …
2025-10-29T05:04:13.473057+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
YOLOX-based object detection plugin for GPS-synchronized videos with GeoPackage export
2026-02-05T12:55:39.474366+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
Full-pipeline deep learning semantic segmentation for geospatial raster data.
2026-04-04T22:31:24.076373+00:00
Deep learning-based object detection in raster data using YOLO models within QGIS.
2026-05-03T09:17:32.728638+00:00
This plugin generates image chips for YOLO training
2026-03-26T15:43:35.863209+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
Automated planetary crater detection on TIF rasters using YOLOLens models. For Pretrained models -->> https://github.com/riccardolagrassa/YOLOLens_QGIS_Plugin
2026-05-15T09:45:04.165575+00:00
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