CNRPark+EXT - A Dataset for Visual Occupancy Detection of Parking Lots
Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Claudio Vairo
http://www.cnrpark.it/
https://www.youtube.com/watch?v=HnJYSWY60nA&feature=youtu.be
CNRPark+EXT is a dataset for visual occupancy detection of parking lots of roughly 150,000 labeled images (patches) of vacant and occupied parking spaces, built on a parking lot of 164 parking spaces.
CNRPark+EXT extends CNRPark, a preliminary dataset composed by 12,000 images collected in different days of July 2015 from 2 cameras.
The additional subset, called CNR-EXT, is composed by images collected from November 2015 to February 2016 under various weather conditions by 9 cameras with different perspectives and angles of view. CNR-EXT captures different situations of light conditions, and it includes partial occlusion patterns due to obstacles (trees, lampposts, other cars) and partial or global shadowed cars.
The video shows the visual occupancy detection system based deployed at the CNR Research Area in Pisa, Italy. Predictions are made by the cameras, which run an efficient convolutional neural network classifier trained with CNRPark+EXT.
CNRPark+EXT is composed by two subsets collected during our research. In the following, the details of both subsets are reported, together with a preview of the data collected.
Details of the CNRPark+EXT subsets.
Examples from the dataset.
Camera placement for the CNR-EXT subset, and an example of fields of view (2 of the 9 available cameras).
Fields of view of the two cameras (A, B) of the CNRPark subset.
References
http://www.cnrpark.it/