Unprecedented Usage of Pre-trained CNNs on Beauty Product

Jian Han Lim, Nurul Japar, Chun Chet Ng, Chee Seng Chan

Abstract: How does a pre-trained Convolution Neural Network (CNN) model perform on beauty and personal care items (i.e Perfect-500K) This is the question we attempt to answer in this paper by adopting several well known deep learning models pre-trained on ImageNet, and evaluate their performance using different distance metrics. In the Perfect Corp Challenge, we manage to secure fourth position by using only the pre-trained model.