Improved notation of prepare data sets section

Signed-off-by: Jim Martens <github@2martens.de>
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2019-08-05 17:48:31 +02:00
parent 1a29d01f3c
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@ -634,8 +634,6 @@ repository.
\section{Preparation of data sets} \section{Preparation of data sets}
% TODO better mathematical/code notation
Usually, data sets are not perfect when it comes to neural Usually, data sets are not perfect when it comes to neural
networks: they contain outliers, invalid bounding boxes, and similar networks: they contain outliers, invalid bounding boxes, and similar
problematic things. Before a data set can be used, these problems problematic things. Before a data set can be used, these problems
@ -643,12 +641,12 @@ need to be removed.
For the MS COCO data set, all annotations were checked for For the MS COCO data set, all annotations were checked for
impossible values: bounding box height or width lower than zero, impossible values: bounding box height or width lower than zero,
x1 and y1 bounding box coordinates lower than zero, \(x_{min}\) and \(y_{min}\) bounding box coordinates lower than zero,
x2 and y2 coordinates lower than or equal to zero, x1 greater than x2, \(x_{max}\) and \(y_{max}\) coordinates lower than or equal to zero, \(x_{min}\) greater than \(x_{max}\),
y1 greater than y2, image width lower than x2, \(y_{min}\) greater than \(y_{max}\), image width lower than \(x_{max}\),
and image height lower than y2. In the last two cases the and image height lower than \(y_{max}\). In the last two cases the
bounding box width or height was set to (image with - x1) or bounding box width or height was set to (image with - \(x_{min}\)) or
(image height - y1) respectively; (image height - \(y_{min}\)) respectively;
in the other cases the annotation was skipped. in the other cases the annotation was skipped.
If the bounding box width or height afterwards is If the bounding box width or height afterwards is
lower than or equal to zero the annotation is skipped. lower than or equal to zero the annotation is skipped.