To identify the kinship of two persons by analyzing the similarity in the facial features. Achieved accuracy of 87.4%. • Used transfer learning on VGGFace2 network as the base architecture. Implemented Deep Neural Network based on ResNet50 to improve the prediction accuracy of the model.
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To identify the kinship of two persons by analyzing the similarity in the facial features. Achieved accuracy of 87.4%. • Used transfer learning on VGGFace2 network as the base architecture. Implemented Deep Neural Network based on ResNet50 to improve the prediction accuracy of the model.
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abhishekj720/Kinship-Verification-Using-CNN
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To identify the kinship of two persons by analyzing the similarity in the facial features. Achieved accuracy of 87.4%. • Used transfer learning on VGGFace2 network as the base architecture. Implemented Deep Neural Network based on ResNet50 to improve the prediction accuracy of the model.
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