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arXiv · 2404.03898

VoltaVision: A Transfer Learning model for electronic component classification

Anas Mohammad Ishfaqul Muktadir Osmani·Taimur Rahman·Salekul Islam
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Abstract

In this paper, we analyze the effectiveness of transfer learning on classifying electronic components. Transfer learning reuses pre-trained models to save time and resources in building a robust classifier rather than learning from scratch. Our work introduces a lightweight CNN, coined as VoltaVision, and compares its performance against more complex models. We test the hypothesis that transferring knowledge from a similar task to our target domain yields better results than state-of-the-art models trained on general datasets. Our dataset and code for this work are available at https://github.com/AnasIshfaque/VoltaVision.

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Anas Mohammad Ishfaqul Muktadir Osmani, Taimur Rahman, Salekul Islam. 2024-04-05. VoltaVision: A Transfer Learning model for electronic component classification. https://arxiv.org/abs/2404.03898

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