The availability of public multiple view stereo (MVS) benchmark datasets has been instrumental in
enabling research to advance the state of the art in the field and to apply and customize methods to
real-world problems. In this work, we provide a public benchmark data set for multiple view stereo
applied to 3D outdoor scene mapping using commercial satellite imagery. This data set includes
DigitalGlobe WorldView-3 panchromatic and multispectral images of a 100 square kilometer area near San
Fernando, Argentina. We also provide 20cm airborne lidar ground truth data for a 20 square kilometer
subset of this area and performance analysis software to assess accuracy and completeness metrics.
Commercial satellite imagery is provided courtesy of DigitalGlobe, and ground truth lidar is provided
courtesy of IARPA. This data supported the IARPA Multi-View Stereo 3D Mapping Challenge and is now made publicly available
with no restrictions to support continued research. JHU/APL does not plan to maintain an online
benchmark leaderboard, but we welcome your feedback and would love to hear about what you're doing with
the data and include your published results on this page.
Reference the following when reporting results using this data