Image similarity usage in order to find similar items in E-commerce dataset
Date
2024
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Tartu Ülikool
Abstract
This thesis looks into the e-commerce situation among small businesses and examines the
possibility of the application of neural networks to business-to-consumer interactions. The
goal of the study is to test the ability of NN to work with limited data and hardware.
Pre-trained ResNet-50 model was used as a base, and fine-tuned with the 4 class dataset,
consisting of 2906 images of clothes categorised into four classes. The experiments were
conducted on a budget-friendly hardware setup. Both the dataset and hardware reflect the
limited resources of the small and micro businesses
The final model was evaluated, reaching an accuracy of 70-80%, These results suggest the
possibility of NN usage in limited data and computational resource conditions and provide the
base for further developments in implementing NN among small businesses.
Description
Keywords
E-commerce, Image classification, Neural network