• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Anderes
  4. Fine-Grained Product Classification on Leaflet Advertisements
 
  • Details
  • Full
Options
2023
Paper (Preprint, Research Paper, Review Paper, White Paper, etc.)
Title

Fine-Grained Product Classification on Leaflet Advertisements

Title Supplement
Published on arXiv
Abstract
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. We show, that the combination of image and text as input improves the classification of visual difficult to distinguish products. The final model leads to an accuracy of 96.4% with a Top-3 score of 99.2%.
Author(s)
Ladwig, Daniel
Offenburg University
Lamm, Bianca
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Keuper, Janis  
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
DOI
10.48550/arXiv.2305.03706
Language
English
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Keyword(s)
  • fine-grained product recognition

  • leaflet images

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024