![]() We pose the age regression problem as a deep classification problem followed by a softmax expected value refinement and show improvements over direct regression training of CNNs. This is the largest public dataset for age prediction to date. We crawled 0.5 million images of celebrities from IMDb and Wikipedia that we make public on this website. In addition, due to the limited number of apparent age annotated images, we explore the benefit of finetuning over crawled Internet face images with available age. Our convolutional neural networks (CNNs) use the VGG-16 architecture andĪre pretrained on ImageNet for image classification. In this paper we tackle the estimation of apparent age in still face images with deep learning.
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