Repair: incorrect display of class name

doc/tutorials/dnn/dnn_yolo/dnn_yolo.markdown

@@ -0,0 +1,58 @@
+YOLO DNNs  {#tutorial_dnn_yolo}
+===============================
+
+Introduction
+------------
+
+In this text you will learn how to use opencv_dnn module using yolo_object_detection (Sample of using OpenCV dnn module in real time with device capture, video and image).
+
+We will demonstrate results of this example on the following picture.
+![Picture example](images/yolo.jpg)
+
+Examples
+--------
+
+VIDEO DEMO:
+@youtube{NHtRlndE2cg}
+
+Source Code
+-----------
+
+The latest version of sample source code can be downloaded [here](https://github.com/opencv/opencv/blob/master/samples/dnn/yolo_object_detection.cpp).
+
+@include dnn/yolo_object_detection.cpp
+
+How to compile in command line with pkg-config
+----------------------------------------------
+
+@code{.bash}
+
+# g++ `pkg-config --cflags opencv` `pkg-config --libs opencv` yolo_object_detection.cpp -o yolo_object_detection
+
+@endcode
+
+Execute in webcam:
+
+@code{.bash}
+
+$ yolo_object_detection -camera_device=0  -cfg=[PATH-TO-DARKNET]/cfg/yolo.cfg -model=[PATH-TO-DARKNET]/yolo.weights   -class_names=[PATH-TO-DARKNET]/data/coco.names
+
+@endcode
+
+Execute with image:
+
+@code{.bash}
+
+$ yolo_object_detection -source=[PATH-IMAGE]  -cfg=[PATH-TO-DARKNET]/cfg/yolo.cfg -model=[PATH-TO-DARKNET]/yolo.weights   -class_names=[PATH-TO-DARKNET]/data/coco.names
+
+@endcode
+
+Execute in video file:
+
+@code{.bash}
+
+$ yolo_object_detection -source=[PATH-TO-VIDEO] -cfg=[PATH-TO-DARKNET]/cfg/yolo.cfg -model=[PATH-TO-DARKNET]/yolo.weights   -class_names=[PATH-TO-DARKNET]/data/coco.names
+
+@endcode
+
+Questions and suggestions email to: Alessandro de Oliveira Faria cabelo@opensuse.org or OpenCV Team.

doc/tutorials/dnn/table_of_content_dnn.markdown

@@ -15,7 +15,7 @@ Deep Neural Networks (dnn module) {#tutorial_table_of_content_dnn}
 
     *Author:* Dmitry Kurtaev
 
-    This tutorial guidelines how to run your models in OpenCV deep learning module using Halide language backend
+    This tutorial guidelines how to run your models in OpenCV deep learning module using Halide language backend.
 
 -   @subpage tutorial_dnn_halide_scheduling
 
@@ -23,4 +23,12 @@ Deep Neural Networks (dnn module) {#tutorial_table_of_content_dnn}
 
     *Author:* Dmitry Kurtaev
 
-    In this tutorial we describe the ways to schedule your networks using Halide backend in OpenCV deep learning module.
+    In this tutorial we describe the ways to schedule your networks using Halide backend in OpenCV deep learning module.
+
+-   @subpage tutorial_dnn_yolo
+
+    *Compatibility:* \> OpenCV 3.3.1
+
+    *Author:* Alessandro de Oliveira Faria
+
+    In this tutorial you will learn how to use opencv_dnn module using yolo_object_detection with device capture, video file or image.