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Fixed explanation of averaging 

Signed-off-by: Jim Martens <github@2martens.de>
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Jim Martens 2019-09-25 13:23:13 +02:00
parent 5ef52d5fa9
commit 7251dfc0d6
1 changed files with 2 additions and 2 deletions
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@ -927,8 +927,8 @@ This behaviour is caused by a large imbalance of detections between
the classes. For vanilla SSD with 0.2 confidence threshold there are
a total of 36,863 detections after non-maximum suppression and top \(k\).
The persons class contributes 14,640 detections or around 40\% to that number. Another strong class is cars with 2,252 detections or around
6\%. This means that two classes have together almost as many detections
as the remaining 58 classes combined.
6\%. In third place come chairs with 1352 detections or around 4\%. This means that three classes have together roughly as many detections
as the remaining 57 classes combined.
In macro averaging, the cumulative precision and recall values are
calculated per class and then averaged across all classes. Smaller