May 8, 2023, 12:47 a.m. | Daniel Ladwig (1), Bianca Lamm (1 and 2), Janis Keuper (2) ((1) IMLA, Offenburg University, (2) Markant Services International GmbH)

cs.CV updates on arXiv.org arxiv.org

In this paper, we describe a first publicly available fine-grained product
recognition dataset based on leaflet images. Using advertisement leaflets,
collected over several years from different European retailers, we provide a
total of 41.6k manually annotated product images in 832 classes. Further, we
investigate three different approaches for this fine-grained product
classification task, Classification by Image, by Text, as well as by Image and
Text. The approach "Classification by Text" uses the text extracted directly
from the leaflet product images. …

advertisements arxiv classification dataset fine-grained images paper product recognition retailers

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne