Şatır, Osman Berk and Baz, İpek and Erdil, Ertunç and Çetin, Müjdat (2017) On comparison of different classification techniques for the fine-grained retail product recognition problem (Farklı sınıflandırma yöntemlerinin çoklu benzer perakende ürünlerin sınıflandırılması problemi için karşılaştırılması). In: 25th Signal Processing and Communications Applications Conference (SIU 2017), Antalya, Turkey
PDF
satir_SIU17.pdf
Download (276kB)
satir_SIU17.pdf
Download (276kB)
Official URL: http://dx.doi.org/10.1109/SIU.2017.7960539
Abstract
Classification systems of retail products have recently been gaining more importance. There are many classes of retail products and the resemblance of these products makes the design of product recognition systems, which have many application areas, more challenging. In this paper, we present a comparison of different classification techniques that are widely used in computer vision for image classification on retail product images taken by smart-phones.
Item Type: | Papers in Conference Proceedings |
---|---|
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Faculty of Engineering and Natural Sciences > Academic programs > Electronics Faculty of Engineering and Natural Sciences |
Depositing User: | Müjdat Çetin |
Date Deposited: | 13 Sep 2017 10:23 |
Last Modified: | 26 Apr 2022 09:28 |
URI: | https://research.sabanciuniv.edu/id/eprint/33845 |