Published December 16, 2025 | Version 1.0.0
Model Open

Deep learning for ultra-large-scale semantic segmentation of geographic 3D point clouds with missing labels: Models and database with results

  • 1. EDMO icon University of Heidelberg
  • 2. ROR icon Universidade de Santiago de Compostela
  • 1. Universidade de Santiago de Compostela
  • 2. EDMO icon University of Heidelberg

Description

Deep learning models for 3D point clouds and SQL database with the results from the ultra-large-scale experiments on the PNOA-II Galicia dataset.

Files

classified_pclouds.zip

Files (31.3 GB)

Name Size
md5:e0c34f85d1ea639fd4f0807ea6f4a46b
14.1 GB Preview Download
md5:bde5f0db08d24aca273245af3eec995b
17.1 GB Preview Download
md5:68e7a3194852cb28bdb6eadafc6bc6ee
2.8 MB Preview Download

Additional details

Software

Repository URL
https://github.com/albertoesmp/vl3d_galicia
Programming language
SQL , Python , Shell , C++