Ground Truth datasets

This page contains three benchmark sets (raw data + ground truth) for different Geo-Information computing applications.

    Terms of usage:

    The benchmark sets are free for scientific use.

    - Please acknowledge the use of the benchmark by referring to the relevant publications as indicated
    - Please notify us if a publication using the benchmark set appears.

SZTAKI-CityMLS is a Point Cloud dataset (SZTAKI-CityMLS), created for the purpose of evaluating 3D semantic point cloud segmentation algorithms in urban environments, based on mobile laser scanning (MLS) measurements of a Riegl VMX-450 mobile mapping system.

SZTAKI-Velo64Road urban object dataset, created for the purpose of evaluating object recognition algorithms in urban environments based on real time Lidar measurements.

SZTAKI Lidar Gait-and-Activity (SZTAKI-LGA) database for evaluating gait based person identification and activity recognition algorithms in multi-pedestrian environments based on real time measurements of a Velodyne HDL 64-E sensor

EMPP Benchmark: Test data for Multilevel Object Population Analysis In the Ground Truth (GT) annotations three semantic levels are distinguished: objects, object groups and object parts (also called as child objects).




Geo-Information Computing @ Machine Perception Lab.

GeoComp Research Group

Machine Perception Laboratory

SZTAKI main page

GeoComp Demos:

Demo page



GeoComp Group leader: Dr. Csaba Benedek

i4D project manager: Dr. Zsolt Jankó

Head of MPLab: Prof. Tamás Szirányi

MPLab administration: Anikó Vágvölgyi


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