5 records found
Deep-learning semantic segmentation of aerial LiDAR point clouds with a 3D SegFormer model (TreeAIBox / NRCan).
2026-05-19T14:33:33.089179+00:00
Segment buildings, vegetation, or any object in your raster using AI, refine & export as vector polygons
2026-05-28T08:55:38.322228+00:00
AI-powered segmentation for QGIS — SAM2.1 & SAM3 with text prompts, similar object detection, vector ROI, and professional GIS workflow …
2026-05-09T07:19:30.681011+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
| Name | Author | Latest Version | Created On | Stars (votes) | ||||
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Aerial LiDAR Classifier | 213 | Abderrazzaq Kharroubi (GeoScITY Lab, University of Liege) | 2026-05-19T14:33:33.089179+00:00 | 2026-05-12T10:37:57.693252+00:00 |
(21)
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— | 1.0.2 |
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AI Segmentation by TerraLab | 31,374 | Yvann and Lilien from TerraLab | 2026-05-28T08:55:38.322228+00:00 | 2026-01-30T17:35:28.352307+00:00 |
(209)
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1.1.0 | — |
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GeoOSAM | 12,212 | Ofer Butbega | 2026-05-09T07:19:30.681011+00:00 | 2025-06-30T16:35:34.781890+00:00 |
(364)
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1.4.1 | — |
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GeoSeg Studio | 259 | Salar Ghaffarian | 2026-04-04T22:31:24.076373+00:00 | 2026-04-03T15:55:01.069619+00:00 |
(27)
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1.0.0 | — |
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YOLO-MOD | 215 | Mateusz Strzelecki, Miraslau Farelnik, Marcin Ciecholewski | 2026-05-03T09:17:32.728638+00:00 | 2026-05-03T09:17:30.937693+00:00 |
(0)
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1.0.0 | — |
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