The Development and Technical Research and Analysis of Image Classification

Sihan Meng

2024

Abstract

This study endeavours to offer a comprehensive overview of the intricate evolution and sophisticated techniques utilized in image classification. Commencing with a meticulous examination of the developmental trajectory, it meticulously delineates the fundamental concepts and principles that underpin this dynamic field. Subsequently, it delves deep into an exhaustive analysis of pivotal models, meticulously dissecting their intricate mechanisms and shedding light on their nuanced functionalities. Image classification has been applied in various fields to improve various aspects. This paper analyses and studies the core network model technology and performance. Analysing the representational and generalization performance of key models through core analysis techniques Moreover, the study meticulously evaluates the performance metrics of these models, meticulously spotlighting significant technological advancements and breakthroughs. Furthermore, it critically examines the nuanced interplay of strengths, weaknesses, and future potentials inherent within these models, providing valuable insights for future research and development endeavours. Finally, the paper synthesizes and consolidates the entire image classification landscape, offering profound insights into emerging trends, paving the way for enhanced accuracy and efficacy in real-world applications.

Paper Citation

in Harvard Style

Meng S. (2024). The Development and Technical Research and Analysis of Image Classification. In Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-713-9, SciTePress, pages 770-774. DOI: 10.5220/0012972500004508

in Bibtex Style

@conference{emiti24,
author={Sihan Meng},
title={The Development and Technical Research and Analysis of Image Classification},
booktitle={Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2024},
pages={770-774},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012972500004508},
isbn={978-989-758-713-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - The Development and Technical Research and Analysis of Image Classification
SN - 978-989-758-713-9
AU - Meng S.
PY - 2024
SP - 770
EP - 774
DO - 10.5220/0012972500004508
PB - SciTePress