Object Detection in Shelf Images with YOLO
Küçük Resim Yok
Tarih
2019
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
18th IEEE International Conference on Smart Technologies (IEEE EUROCON) -- JUL 01-04, 2019 -- Novi Sad, SERBIA
Anahtar Kelimeler
Deep Learning, Object Detection, Product Recognition, Yolo
Kaynak
Proceedings of 18th International Conference on Smart Technologies (Ieee Eurocon 2019)
WoS Q Değeri
N/A
