4 records found
Classify airborne and mobile mapping LiDAR point clouds with deep learning (LitePT-L); railway and power line models through the author's …
2026-11-02T12:06:09.304541+00:00
AI-powered segmentation for QGIS - SAM2.1 & SAM3 with text prompts, similar object detection, vector ROI, and professional GIS workflow …
2026-10-23T07:16:41.446892+00:00
Full-pipeline deep learning semantic segmentation for geospatial raster data.
2026-09-12T09:16:17.970889+00:00
Deep learning-based object detection in raster data using YOLO models within QGIS.
2026-08-09T10:33:44.517286+00:00
| Name | Author | Latest Version | Created On | ||||
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Aerial LiDAR Classifier | 3,954 | Abderrazzaq Kharroubi (GeoScITY Lab, University of Liege) | 2026-11-02T12:06:09.304541+00:00 | 2026-05-12T10:37:57.693252+00:00 | 1.3.4 | 1.0.2 |
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GeoOSAM | 18,113 | Ofer Butbega | 2026-10-23T07:16:41.446892+00:00 | 2025-06-30T16:35:34.781890+00:00 | 1.4.4 | — |
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GeoSeg Studio | 914 | Salar Ghaffarian | 2026-09-12T09:16:17.970889+00:00 | 2026-04-03T15:55:01.069619+00:00 | 1.1.1 | — |
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YOLO-MOD | 1,321 | Mateusz Strzelecki, Marcin Ciecholewski | 2026-08-09T10:33:44.517286+00:00 | 2026-05-03T09:17:30.937693+00:00 | 2.1.1 | — |
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