Nina Pakhomova

In our previous post, we showed you how to use image recognition to solve the issue of misattribution in e-commerce catalogs. Once you start to trust your models and have trained them to detect a valuable amount of attributes, it is easy to expand from attribute verification to auto tagging. However, our approach to misattribution

This article discusses how to use TensorFlow and image recognition to detect and correct misattribution in e-commerce product catalogs.

This article discusses the problem of misattribution and attribution gaps in product catalogs in e-commerce. It explains how machine learning can be used to resolve these issues and improve the search and user experience for customers.