The EAVISE Mobile Mapping Dataset consists of two mobile mapping datasets, which are made publicly available, to encourage further research in this area.
The first dataset is a series of mobile mapping cycloramic images, captured using a LadyBug 1 camera setup , in a quiet and calm urban area in the Netherlands. The captured images give a full 360 degree view from the surroundings of the car at any given position. The camera itself is fixed and mounted on the top of the roof of the car. The set has 450 images under daylight conditions with a resolution of 4800x2400 pixels with a total size of 1.4GB. The dataset is used to develop and fine-tune the suggested approach.
Dataset 1 can be downloaded by clicking the following link. [right click - save as]
Annotations for dataset 1 can be found by clicking the following link.
This dataset was supplied by Vansteelandt BVBA.
The second dataset was captured using a LadyBug 2 camera , having a resolution of 8000x4000 pixels, again mounted on top of the roof of the car, containing 45 images of a train and bus station in Belgium with a total size of 110MB. We used this dataset to prove that the developed approach is independent of the application-specific settings like camera setup and application environment, except for defining the actual height-position relation used to improve the detection success rate.
Dataset 2 can be downloaded by clicking the following link. [right click - save as]
Annotations for dataset 2 can be found by clicking the following link.
This dataset was supplied by Grontmij Belgium.
If you plan to use this dataset, we require you to cite the following publication:
2016; Safeguarding Privacy by Reliable Automatic Blurring of Faces in Mobile Mapping Images; Puttemans S, Goedemé T, Vanwolputte S; Proceedings of VISAPP2016; published; VISAPP; 11; Rome, Italy; 27-29 February 2016.