Computational Intelligence and Neuroscience / 2020 / Article / Tab 5

Review Article

Deep Learning for Retail Product Recognition: Challenges and Techniques

Table 5

Detailed information of several public datasets.

ScenarioDataset#product categoriesTraining setTest set
#instances per image#number of images#instances per image#number of images

On-shelfGroZi-120 dataset (,973
GroZi-3.2k dataset (,350Multiple3,235
Freiburg Grocery dataset ( (one class)4,947Multiple74
Cigarette dataset (,600Multiple354
Grocery Store dataset ( (one class)2,640Multiple (one class)2,458

CheckoutD2S dataset (,380Multiple16,620
RPC dataset (,739Multiple30,000

We are committed to sharing findings related to COVID-19 as quickly as possible. We will be providing unlimited waivers of publication charges for accepted research articles as well as case reports and case series related to COVID-19. Review articles are excluded from this waiver policy. Sign up here as a reviewer to help fast-track new submissions.