Fashion and Apparel Classification using Convolutional Neural Networks
Alexander Schindler, Thomas Lidy, Stephan Karner, Matthias Hecker · arXiv (Cornell University) · 2018
We present an empirical study of applying deep Convolutional Neural Networks (CNN) to the task of fashion and apparel image classification to improve meta-data enrichment of e-commerce applications. Five different CNN architectures were analyzed using clean and pre-trained models. The models were evaluated in three different tasks person detection, product and gender classification, on two small and large scale datasets.