MiLab Test Set: A Multi-view Indoor Image Set for A Laboratory
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This is a test dataset for indoor
localization task. The dataset contains multi-view images for 148 test locations of a large lab (there are 214 locations in the training dataset). For
each location, we collect images from four different views (directions), i.e.,
the front view, the right view, the behind view and the left view, in a
clockwise order. For each view of a test location, the number of images taken
is 2. As such, there are 8 images for each of the test locations. The image
files are named in \u2018locationID_imageNumber.jpg\u2019 manner. For example, file \u2018101_00002.jpg\u2019 means it is the second
image taken in the location #101. The files named \u2018***_*****_thumb.jpg\u2019 are
system generated files, please ignore them.
One can use multi-view images to perform
indoor localization. As an alternative, one can also incorporate images with
magnetic signals for indoor localization. \u2018mag_test.xlsx\u2019 file records the
magnetic signals for the 148 test locations of the lab. The six columns of the
xlsx file are (1) average value of magnitude, (2) mode of magnitude, (3) variance
of magnitude, (4) minimum value of magnitude,
(5) maximum value of magnitude, and (6) location ID. Magnitude is the 2-norm of
the smartphone captured 3-D magnetic signal. Put another way, magnitude is the norm ||v|| of the 3-D magnetic vector v.
The training dataset associated with this
dataset can be found in https://archive.org/details/MilabTestSetAMulti-viewIndoorImageSetForALaboratory.
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