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.…
Document Type: | Master's Thesis |
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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): | Creative Commons - CC BY - Namensnennung 4.0 International |