Added paragraph about spread of ground truth in data

Signed-off-by: Jim Martens <github@2martens.de>
This commit is contained in:
2019-09-25 13:33:42 +02:00
parent 7251dfc0d6
commit f180feb315

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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 belonging to the first 60 classes was loaded. The remaining 20
classes were considered "unknown" and no ground truth bounding classes were considered "unknown" and no ground truth bounding
boxes for them were provided during the inference phase. 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} \section{Experimental Setup}