Fully convolutional network for recognition of five emotions ('neutral', 'happy', 'sad', 'surprise', 'anger').
For the metrics evaluation, the validation part of the AffectNet dataset is used. A subset with only the images containing five aforementioned emotions is chosen. The total amount of the images used in validation is 2,500.
|Input face orientation||Frontal|
|Rotation out-of-plane||Yaw: ±15˚ / Pitch: ±15˚|
|Min object width||64 pixels|
input, shape: [1x3x64x64] - An input image in [1xCxHxW] format. Expected color order is BGR.
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