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Corrected Comment as requested by reviewer.
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modules/dnn/include/opencv2/dnn/all_layers.hpp

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@@ -599,11 +599,12 @@ CV__DNN_EXPERIMENTAL_NS_BEGIN
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};
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/**
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* @brief detection output layer.
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* @brief Detection output layer.
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*
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* The layer size is: @f$ (1 \times 1 \times N \times 7) @f$
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* where N is the number of detections after nms, and each row is:
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* where N is [keep_top_k] parameter multiplied by batch size. Each row is:
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* [image_id, label, confidence, xmin, ymin, xmax, ymax]
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* where image_id is the index of image input in the batch.
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*/
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class CV_EXPORTS DetectionOutputLayer : public Layer
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{

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