Is there a publicly available benchmarking database of classified (labeled) LiDAR data? For example, where each point is classified as ground, vegetation, building, road, water, etc?
The point clouds that I find listed in other questions are not complete classified (or complete validated) point clouds. I have yet to find one where each point contains a label that specifies the type of object from which it originated.
A set of this nature would be very useful as a way to quantitatively measure range finding algorithms. The scholarly articles that I have read typically rely on small private sets or upon qualitative measures.
I would be happy with any source of data, but I prefer airborne LiDAR. Also, I would like a broad range of data including cities with buildings, house, and trees and also pure forests, but again, I would take anything I could get.
In other words, I am looking for a LiDAR point cloud which all points were classified with more than 99.9% accuracy (probably manually classified point clouds?).