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@tobix10, Thanks for pointing that issue!

The https://github.com/opencv/opencv/blob/3.4.6/samples/dnn/object_detection.cpp is a bit outdated due preprocessing parameters such scale and mean already in the graph:

node {
  name: "image_tensor"
  op: "Placeholder"
  attr {
    key: "dtype"
    value {
      type: DT_UINT8
    }
  }
node {
  name: "Preprocessor/mul"
  op: "Mul"
  input: "image_tensor"
  input: "Preprocessor/mul/x"
}
node {
  name: "Preprocessor/sub"
  op: "Sub"
  input: "Preprocessor/mul"
  input: "Preprocessor/sub/y"
}
node {
  name: "FirstStageFeatureExtractor/InceptionV2/InceptionV2/Conv2d_1a_7x7/separable_conv2d/depthwise"
  op: "DepthwiseConv2dNative"
  input: "Preprocessor/sub"
...

So the right arguments are

./example_dnn_object_detection --model=frozen_inference_graph.pb --config=faster_rcnn_inception_v2_coco_2018_01_28.pbtxt --width=450 --height=258

Note: you may vary input's width and height to achieve better accuracy.