Object Detection in Shelf Images with YOLO
| dc.authorid | Varlı, Songül/0000-0002-1786-6869|Melek, Ceren Gülra/0000-0002-5795-0838|Battini Sonmez, Elena/0000-0003-0090-984X | |
| dc.authorwosid | Varlı, Songül/AAZ-4672-2020 | |
| dc.authorwosid | Melek, Ceren Gülra/ABA-8614-2021 | |
| dc.authorwosid | Battini Sonmez, Elena/AAZ-6358-2021 | |
| dc.contributor.author | Melek, Ceren Gulra | |
| dc.contributor.author | Sonmez, Elena Battini | |
| dc.contributor.author | Albayrak, Songul | |
| dc.date.accessioned | 2024-07-18T20:47:26Z | |
| dc.date.available | 2024-07-18T20:47:26Z | |
| dc.date.issued | 2019 | |
| dc.department | İstanbul Bilgi Üniversitesi | en_US |
| dc.description | 18th IEEE International Conference on Smart Technologies (IEEE EUROCON) -- JUL 01-04, 2019 -- Novi Sad, SERBIA | en_US |
| dc.description.abstract | Object detection in shelf images can solve many problems in retails sales such as monitoring the number of products on the shelves, completing the missing products and matching the planogram continuously. This study aims to detect object in shelf images with deep learning algorithms. Firstly, object detection algorithms and datasets are examined in the literature. Then, experimental study is performed using Coca Cola images obtained from Imagenet and Grocery dataset with YOLO (You Only Look Once) algorithm. Results of the study are discussed from different sides such as number of classes, threshold values and numder of iteration. | en_US |
| dc.description.sponsorship | IEEE,IEEE Reg 8,IEEE Serbia & Montenegro Sect,Univ Neoplantensis | en_US |
| dc.identifier.doi | 10.1109/eurocon.2019.8861817 | |
| dc.identifier.isbn | 978-1-5386-9301-8 | |
| dc.identifier.uri | https://doi.org/10.1109/eurocon.2019.8861817 | |
| dc.identifier.uri | https://hdl.handle.net/11411/7776 | |
| dc.identifier.wos | WOS:000556109600070 | en_US |
| dc.identifier.wosquality | N/A | en_US |
| dc.indekslendigikaynak | Web of Science | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.ispartof | Proceedings of 18th International Conference on Smart Technologies (Ieee Eurocon 2019) | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Deep Learning | en_US |
| dc.subject | Object Detection | en_US |
| dc.subject | Product Recognition | en_US |
| dc.subject | Yolo | en_US |
| dc.title | Object Detection in Shelf Images with YOLO | en_US |
| dc.type | Conference Object | en_US |
