Bag of Tricks for Retail Product Image Classification

Retail Product Image Classification is an important Computer Vision and Machine Learning problem for building real world systems like self-checkout stores and automated retail execution evaluation. In this work, we present various tricks to increase accuracy of Deep Learning models on different types of retail product image classification datasets... (read more)

Results in Papers With Code
(↓ scroll down to see all results)