This page describes the organization of the AMOS dataset. If this page does not contain the information you need let us know.
All images from a given camera are grouped in a single directory with file names (described below) that correspond to when the image was captured.
/{Camera ID}/image filesIf there is interest we can make available the geolocation and a textual description of the scene of many of the cameras in the dataset.
Filenames are determined by the download time of the file. The download time is not always the image capture time (some images are delayed because they are uploaded to a webserver).
The image filename format is : yyymmdd_HHMMSS.jpg (using Matlab date syntax).
We use the following Matlab code to load the files from a given camera (in the cBase directory) and to extract the date from the filename:
D = dir([cBase '20*.jpg']);
D = D(0 < [D.bytes]); % remove empty files
dateNums = datenum({D.name}, 'yyyymmdd_HHMMSS');
All times are recorded in Central Time (UTC-5 or UTC-6 depending on the time of year). We use the following Matlab script to remove daylight savings time.
% convert times with daylight savings shift to standard time
function d = cdt2cst(d)
ds = datenum({'April 6, 2003', 'April 4, 2004','April 3, 2005', ...
'April 2,2006', 'March 11, 2007', 'March 9, 2008', ...
'March 8, 2009', 'March 14, 2010'});
de = datenum({'Oct 26, 2003', 'Oct 31, 2004','Oct 30, 2005', ...
'Oct 29,2006', 'November 4, 2007', 'Nov 2, 2008', ...
'Nov 1, 2009', 'Nov 7, 2010'});
for ix = 1:numel(de)
ind = (ds(ix)<=d) & (d < de(ix));
d(ind) = d(ind) - 1/24;
end
end