![]() The index file is saved as Matlab format. You should download faces only files.Įxtracting wiki_crop.tar creates 100 folders and an index file (wiki.mat). In this post, I will just consume wiki data source to develop solution fast. The original work consumed face pictures collected from IMDB (7 GB) and Wikipedia (1 GB). That’s why, I intend to adopt this research from scratch in Keras. Even though I tried to convert Caffe model and weights to Keras / TensorFlow, I couldn’t handle this. Their implementation was based on Caffe framework. They both shared how they designed the machine learning model and pre-trained weights for transfer learning. ![]() The content in the github repository was also downloaded from the Sefik Ilkin Serengil github repositoryĬomputer vision researchers of ETH Zurich University (Switzerland) announced a very successful apparent age and gender prediction models. The original writer is Sefik Ilkin Serengil ( ) This article is just a copy paste from the following blog article and github repository :
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