We present 9 deep learning classifiers to predict Fashion attributes in 4 different categories: apparel (dresses and tops), shoes, watches and luggages. Our prediction system hosts several classifiers working at scale to populate a catalogue of millions of products. We provide details of our models as well as the challenges involved in predicting Fashion attributes in a relatively homogeneous problem space.
CITATION STYLE
Gutierrez, P., Sondag, P. A., Butkovic, P., Lacy, M., Berges, J., Bertrand, F., & Knudson, A. (2019). Deep learning for automated tagging of fashion images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11131 LNCS, pp. 3–11). Springer Verlag. https://doi.org/10.1007/978-3-030-11015-4_1
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