Updated input/output description of intel models (#3425)

Author: Anna Grebneva

models/intel/age-gender-recognition-retail-0013/README.md

@@ -38,7 +38,7 @@ applicable for children since their faces were not in the training set.
 
 ## Inputs
 
-Image, name: `input`, shape: `1, 3, 62, 62` in `1, C, H, W` format, where:
+Image, name: `data`, shape: `1, 3, 62, 62` in `1, C, H, W` format, where:
 
 - `C` - number of channels
 - `H` - image height
@@ -48,7 +48,7 @@ Expected color order is `BGR`.
 
 ## Outputs
 
-1. Name: `age_conv3`, shape: `1, 1, 1, 1` - Estimated age divided by 100.
+1. Name: `fc3_a`, shape: `1, 1, 1, 1` - Estimated age divided by 100.
 2. Name: `prob`, shape: `1, 2, 1, 1` - Softmax output across 2 type classes [0 - female, 1 - male].
 
 ## Demo usage

models/intel/face-detection-0200/README.md

@@ -26,7 +26,7 @@ curve. All numbers were evaluated by taking into account only faces bigger than
 
 ## Inputs
 
-Image, name: `input`, shape: `1, 3, 256, 256` in the format `B, C, H, W`, where:
+Image, name: `image`, shape: `1, 3, 256, 256` in the format `B, C, H, W`, where:
 
 - `B` - batch size
 - `C` - number of channels

models/intel/face-detection-0202/README.md

@@ -26,7 +26,7 @@ curve. All numbers were evaluated by taking into account only faces bigger than
 
 ## Inputs
 
-Image, name: `input`, shape: `1, 3, 384, 384` in the format `B, C, H, W`, where:
+Image, name: `image`, shape: `1, 3, 384, 384` in the format `B, C, H, W`, where:
 
 - `B` - batch size
 - `C` - number of channels

models/intel/face-detection-0204/README.md

@@ -26,7 +26,7 @@ curve. All numbers were evaluated by taking into account only faces bigger than
 
 ## Inputs
 
-Image, name: `input`, shape: `1, 3, 448, 448` in the format `B, C, H, W`, where:
+Image, name: `image`, shape: `1, 3, 448, 448` in the format `B, C, H, W`, where:
 
 - `B` - batch size
 - `C` - number of channels

models/intel/face-detection-0205/README.md

@@ -25,7 +25,7 @@ curve. All numbers were evaluated by taking into account only faces bigger than
 
 ## Inputs
 
-Image, name: `input`, shape: `1, 3, 416, 416` in the format `B, C, H, W`, where:
+Image, name: `image`, shape: `1, 3, 416, 416` in the format `B, C, H, W`, where:
 
 - `B` - batch size
 - `C` - number of channels

models/intel/face-detection-0206/README.md

@@ -25,7 +25,7 @@ curve. All numbers were evaluated by taking into account only faces bigger than
 
 ## Inputs
 
-Image, name: `input`, shape: `1, 3, 640, 640` in the format `B, C, H, W`, where:
+Image, name: `image`, shape: `1, 3, 640, 640` in the format `B, C, H, W`, where:
 
 - `B` - batch size
 - `C` - number of channels

models/intel/face-detection-adas-0001/README.md

@@ -30,7 +30,7 @@ curve. Numbers are on
 
 ## Inputs
 
-Image, name: `input`, shape: `1, 3, 384, 672` in the format `B, C, H, W`, where:
+Image, name: `data`, shape: `1, 3, 384, 672` in the format `B, C, H, W`, where:
 
 - `B` - batch size
 - `C` - number of channels

models/intel/face-detection-retail-0004/README.md

@@ -27,7 +27,7 @@ curve. All numbers were evaluated by taking into account only faces bigger than
 
 ## Inputs
 
-Image, name: `input`, shape: `1, 3, 300, 300` in the format `B, C, H, W`, where:
+Image, name: `data`, shape: `1, 3, 300, 300` in the format `B, C, H, W`, where:
 
 - `B` - batch size
 - `C` - number of channels

models/intel/face-detection-retail-0005/README.md

@@ -26,7 +26,7 @@ curve. All numbers were evaluated by taking into account only faces bigger than
 
 ## Inputs
 
-Image, name: `input`, shape: `1, 3, 300, 300` in the format `B, C, H, W`, where:
+Image, name: `input.1`, shape: `1, 3, 300, 300` in the format `B, C, H, W`, where:
 
 - `B` - batch size
 - `C` - number of channels

models/intel/face-reidentification-retail-0095/README.md

@@ -34,7 +34,7 @@ To align the face, use a landmarks regression model: using regressed points and
 
 ## Inputs
 
-Input image, name: `data` , shape: `1, 3, 128, 128` in the format `B, C, H, W`, where:
+Input image, name: `0` , shape: `1, 3, 128, 128` in the format `B, C, H, W`, where:
 
 - `B` - batch size
 - `C` - number of channels