# A Retail Product Categorisation Dataset

arXiv: https://arxiv.org/abs/2103.13864 · HTML: https://mlsanity.com/paper/2103.13864/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 5 references that are in the map.
- First posted on arXiv 25 Mar 2021.

## Built on by (most cited first, 4 of 4)

- [Robust Product Classification with Instance-Dependent Noise](https://mlsanity.com/paper/2209.06946/) (2022)
- [Retail-786k: a Large-Scale Dataset for Visual Entity Matching](https://mlsanity.com/paper/2309.17164/) (2023)
- [AutoWS: Automated Weak Supervision Framework for Text Classification](https://mlsanity.com/paper/2302.03297/) (2023)
- [Fine-Grained Product Classification on Leaflet Advertisements](https://mlsanity.com/paper/2305.03706/) (2023)

## Abstract (arXiv)

Most eCommerce applications, like web-shops have millions of products. In this context, the identification of similar products is a common sub-task, which can be utilized in the implementation of recommendation systems, product search engines and internal supply logistics. Providing this data set, our goal is to boost the evaluation of machine learning methods for the prediction of the category of the retail products from tuples of images and descriptions.