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Added paragraph about spread of ground truth in data

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Signed-off-by: Jim Martens <github@2martens.de>
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Jim Martens
2019-09-25 13:33:42 +02:00
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@ -641,6 +641,12 @@ All images of the minival2014 data set were used but only ground truth
belonging to the first 60 classes was loaded. The remaining 20
classes were considered "unknown" and no ground truth bounding
boxes for them were provided during the inference phase.
A total of 31,991 detections remains after this exclusion. Of these
detections, a staggering 10,988 or 34,3\% belong to the persons
class, followed by cars with 1,932 or 6\%, chairs with 1,791 or 5,6\%,
and bottles with 1,021 or 3,2\%. Together, these four classes make up
around 49,1\% of the ground truth detections. This shows a huge imbalance
between the classes in the data set.
\section{Experimental Setup}