Volltext-Downloads (blau) und Frontdoor-Views (grau)

Automatic Product Identification Using Deep Learning

  • In the past ten years, applications of artificial neural networks have changed dramatically. outperforming earlier predictions in domains like robotics, computer vision, natural language processing, healthcare, and finance. Future research and advancements in CNN architectures, Algorithms and applications are expected to revolutionize various industries and daily life further. Our task is to findIn the past ten years, applications of artificial neural networks have changed dramatically. outperforming earlier predictions in domains like robotics, computer vision, natural language processing, healthcare, and finance. Future research and advancements in CNN architectures, Algorithms and applications are expected to revolutionize various industries and daily life further. Our task is to find current products that resemble the given product image and description. Deep learning-based automatic product identification is a multi-step process that starts with data collection and continues with model training, deployment, and continuous improvement. The caliber and variety of the dataset, the design selected, and ongoing testing and improvement all affect the model's effectiveness. We achieved 81.47% training accuracy and 72.43% validation accuracy for our combined text and image classification model. Additionally, we have discussed the outcomes from the other dataset and numerous methods for creating an appropriate model.show moreshow less

Download full text files

  • Master_Thesis_Rawat_Amit_Kumar.pdf
    eng

Export metadata

Additional Services

Search Google Scholar

Statistics

frontdoor_oas
Metadaten
Document Type:Master's Thesis
Zitierlink: https://opus.hs-offenburg.de/8100
Bibliografische Angaben
Title (English):Automatic Product Identification Using Deep Learning
Author:Amit Kumar Rawat
Advisor:Janis Keuper, Stefan Hensel
Year of Publication:2023
Publishing Institution:Hochschule Offenburg
Granting Institution:Hochschule Offenburg
Page Number:76
Language:English
Inhaltliche Informationen
Institutes:Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019)
Institutes:Abschlussarbeiten / Master-Studiengänge / CME
DDC classes:600 Technik, Medizin, angewandte Wissenschaften
GND Keyword:Deep learning; Neuronales Netz
Tag:artificial neural networks
Formale Angaben
Open Access: Closed 
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International