4 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-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
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) | ||||
|---|---|---|---|---|---|---|---|---|
|
|
Aerial LiDAR Classifier | 1,069 | Abderrazzaq Kharroubi (GeoScITY Lab, University of Liege) | 2026-05-19T14:33:33.089179+00:00 | 2026-05-12T10:37:57.693252+00:00 |
(40)
|
— | 1.0.2 |
|
|
GeoOSAM | 16,290 | Ofer Butbega | 2026-06-12T20:48:49.965516+00:00 | 2025-06-30T16:35:34.781890+00:00 |
(427)
|
1.4.3 | — |
|
|
GeoSeg Studio | 631 | Salar Ghaffarian | 2026-09-12T09:16:17.970889+00:00 | 2026-04-03T15:55:01.069619+00:00 |
(27)
|
1.1.1 | — |
|
|
YOLO-MOD | 958 | Mateusz Strzelecki, Marcin Ciecholewski | 2026-08-09T10:33:44.517286+00:00 | 2026-05-03T09:17:30.937693+00:00 |
(1)
|
2.1.1 | — |
Plugin Tags