Detailled semantic labeling (3D) result


Name X. Jiang
Affiliation Wuda, China
Abbreviation WUD1
Strategy (u)nsupervised, (s)upervised, (h)ybrid s

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↓ predicted || reference →
power
low_veg
imp_surf
car
fence_hedge
roof
fac
shrub
tree
missing points
power
---
---
---
---
---
0.490
---
---
---
306
low_veg
---
---
---
---
---
0.003
---
---
---
98342
imp_surf
---
---
---
---
---
0.001
---
---
---
101871
car
---
---
---
---
---
0.009
---
---
---
3674
fence_hedge
---
---
---
---
---
0.090
---
---
---
6751
roof
---
---
---
---
---
0.911
---
---
---
9686
fac
---
---
---
---
---
0.593
---
---
---
4570
shrub
---
---
---
---
---
0.075
---
---
---
22940
tree
---
---
---
---
---
0.167
---
---
---
45156
Precision/Correctness
--
--
--
--
--
0.840
--
--
--
Recall/Completeness
--
--
--
--
--
0.911
--
--
--
F1
--
--
--
--
--
0.874
--
--
--

Overall accuracy 0.840

Data Download


Download a zip file containing laz files per class. Those can be visualized with CloudCompare

Click here for download!

Data previews (derived from voxelisation at 50cm voxelcube)

Participant labeling (lowest points when multiple labels at one X/Y position)

Red/green image, indicating wrongly classified areas

!!! All red/green visualisations (also the point clouds in the zip file) are defined from the reference point of view.