5 records found
Classify airborne and mobile mapping LiDAR point clouds with deep learning (LitePT-L, SegFormer 3D).
2026-10-10T20:46:07.081547+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.
2026-09-12T09:16:17.970889+00:00
This plugin generates image chips for YOLO training
2026-03-26T15:43:35.863209+00:00
| Name | Author | Latest Version | Created On | ||||
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Aerial LiDAR Classifier | 2,210 | Abderrazzaq Kharroubi (GeoScITY Lab, University of Liege) | 2026-10-10T20:46:07.081547+00:00 | 2026-05-12T10:37:57.693252+00:00 | 1.2.1 | 1.0.2 |
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GeoOSAM | 17,137 | Ofer Butbega | 2026-06-12T20:48:49.965516+00:00 | 2025-06-30T16:35:34.781890+00:00 | 1.4.3 | — |
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GeoSeg Studio | 788 | 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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TreeEyed | 13,314 | Andres Felipe Ruiz-Hurtado, Tropical Forages Program - CIAT | 2025-09-12T22:52:25.524691+00:00 | 2024-09-05T22:07:11.437526+00:00 | 0.2.0 | — |
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Vector To YOLO | 422 | Yogi Satrio Wijoyo | 2026-03-26T15:43:35.863209+00:00 | 2026-03-26T14:44:35.676214+00:00 | — | 0.1 |
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