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
AI segmentation for QGIS: detect and extract building footprints, trees, vegetation or any object from your raster, then refine & …
2026-08-21T08:35:34.841705+00:00
AI-powered segmentation for QGIS — SAM2.1 & SAM3 with text prompts, similar object detection, vector ROI, and professional GIS workflow …
2026-06-12T20:48:49.965516+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.
2026-08-09T10:33:44.517286+00:00
| Name | Author | Latest Version | Created On | Stars (votes) | ||||
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Aerial LiDAR Classifier | 871 | Abderrazzaq Kharroubi (GeoScITY Lab, University of Liege) | 2026-05-19T14:33:33.089179+00:00 | 2026-05-12T10:37:57.693252+00:00 |
(34)
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— | 1.0.2 |
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AI Segmentation by TerraLab | 53,428 | Yvann and Lilien from TerraLab | 2026-08-21T08:35:34.841705+00:00 | 2026-01-30T17:35:28.352307+00:00 |
(323)
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2.4.4 | — |
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GeoOSAM | 15,531 | Ofer Butbega | 2026-06-12T20:48:49.965516+00:00 | 2025-06-30T16:35:34.781890+00:00 |
(425)
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1.4.3 | — |
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GeoSeg Studio | 493 | 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 | 773 | Mateusz Strzelecki, Marcin Ciecholewski | 2026-08-09T10:33:44.517286+00:00 | 2026-05-03T09:17:30.937693+00:00 |
(1)
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2.1.1 | — |
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