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In this project, I used to extract the face feature (Eye, Nose, Eyebrow, and Mouth) using the DLib library and pass each feature to each of the multi-stream CNN layers. After passing Through Multi-stream CNN the output is concatenated and again passes through the CNN model, the output of CNN is estimated age.

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Vaibhav-Rathod/Age-estimation-by-MultiStream-CNN

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  • In this project, I used to extract the face feature (Eye, Nose, Eyebrow, and Mouth) using the DLib library and pass each feature to each of the multi-stream CNN layers. After passing Through Multi-stream CNN the output is concatenated and again passes through the CNN model, the output of CNN is estimated age.

  • For a more detailed technical report, check here

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In this project, I used to extract the face feature (Eye, Nose, Eyebrow, and Mouth) using the DLib library and pass each feature to each of the multi-stream CNN layers. After passing Through Multi-stream CNN the output is concatenated and again passes through the CNN model, the output of CNN is estimated age.

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