Deep Learning Approaches for Automated Fish Species Classification Using Underwater Images: A Two-Phase Model with Data Augmentation

Mahsa Hashempoor; Essa Q. Shahra; Shadi Basurra; Samer Bamansoor

doi:10.1007/978-3-031-91354-9_4

Deep Learning Approaches for Automated Fish Species Classification Using Underwater Images: A Two-Phase Model with Data Augmentation

Mahsa Hashempoor
, Essa Q. Shahra^*
, Shadi Basurra
, Samer Bamansoor

^*Corresponding author for this work

Birmingham City University

Birmingham City University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	Advances on Intelligent Computing and Data Science II
Subtitle of host publication	Proceedings of the 4th International Conference of Advanced Computing and Informatics (ICACIN 2024), Volume 2
Publisher	Springer
Pages	40-51
Number of pages	12
ISBN (Electronic)	9783031913549
ISBN (Print)	9783031913532
DOIs	https://doi.org/10.1007/978-3-031-91354-9_4
Publication status	Published (VoR) - 26 Jun 2025

Publication series

Name	Lecture Notes on Data Engineering and Communications Technologies
Volume	255
ISSN (Print)	2367-4512
ISSN (Electronic)	2367-4520

Keywords

and Biodiversity
CNN
Fish species detection
Marine ecosystem monitoring
ResNet
ViT

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10.1007/978-3-031-91354-9_4

Cite this

Hashempoor, M., Shahra, E. Q., Basurra, S., & Bamansoor, S. (2025). Deep Learning Approaches for Automated Fish Species Classification Using Underwater Images: A Two-Phase Model with Data Augmentation. In Advances on Intelligent Computing and Data Science II : Proceedings of the 4th International Conference of Advanced Computing and Informatics (ICACIN 2024), Volume 2 (pp. 40-51). (Lecture Notes on Data Engineering and Communications Technologies; Vol. 255). Springer. https://doi.org/10.1007/978-3-031-91354-9_4

Hashempoor, Mahsa ; Shahra, Essa Q. ; Basurra, Shadi et al. / Deep Learning Approaches for Automated Fish Species Classification Using Underwater Images : A Two-Phase Model with Data Augmentation. Advances on Intelligent Computing and Data Science II : Proceedings of the 4th International Conference of Advanced Computing and Informatics (ICACIN 2024), Volume 2. Springer, 2025. pp. 40-51 (Lecture Notes on Data Engineering and Communications Technologies).

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title = "Deep Learning Approaches for Automated Fish Species Classification Using Underwater Images: A Two-Phase Model with Data Augmentation",

keywords = "and Biodiversity, CNN, Fish species detection, Marine ecosystem monitoring, ResNet, ViT",

author = "Mahsa Hashempoor and Shahra, \{Essa Q.\} and Shadi Basurra and Samer Bamansoor",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.",

year = "2025",

month = jun,

day = "26",

doi = "10.1007/978-3-031-91354-9\_4",

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Hashempoor, M, Shahra, EQ, Basurra, S & Bamansoor, S 2025, Deep Learning Approaches for Automated Fish Species Classification Using Underwater Images: A Two-Phase Model with Data Augmentation. in Advances on Intelligent Computing and Data Science II : Proceedings of the 4th International Conference of Advanced Computing and Informatics (ICACIN 2024), Volume 2. Lecture Notes on Data Engineering and Communications Technologies, vol. 255, Springer, pp. 40-51. https://doi.org/10.1007/978-3-031-91354-9_4

Deep Learning Approaches for Automated Fish Species Classification Using Underwater Images: A Two-Phase Model with Data Augmentation. / Hashempoor, Mahsa; Shahra, Essa Q.; Basurra, Shadi et al.
Advances on Intelligent Computing and Data Science II : Proceedings of the 4th International Conference of Advanced Computing and Informatics (ICACIN 2024), Volume 2. Springer, 2025. p. 40-51 (Lecture Notes on Data Engineering and Communications Technologies; Vol. 255).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hashempoor, Mahsa

AU - Shahra, Essa Q.

AU - Basurra, Shadi

AU - Bamansoor, Samer

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

PY - 2025/6/26

Y1 - 2025/6/26

KW - and Biodiversity

KW - CNN

KW - Fish species detection

KW - Marine ecosystem monitoring

KW - ResNet

KW - ViT

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DO - 10.1007/978-3-031-91354-9_4

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AN - SCOPUS:105010087350

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T3 - Lecture Notes on Data Engineering and Communications Technologies

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PB - Springer

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Hashempoor M, Shahra EQ, Basurra S, Bamansoor S. Deep Learning Approaches for Automated Fish Species Classification Using Underwater Images: A Two-Phase Model with Data Augmentation. In Advances on Intelligent Computing and Data Science II : Proceedings of the 4th International Conference of Advanced Computing and Informatics (ICACIN 2024), Volume 2. Springer. 2025. p. 40-51. (Lecture Notes on Data Engineering and Communications Technologies). doi: 10.1007/978-3-031-91354-9_4

Deep Learning Approaches for Automated Fish Species Classification Using Underwater Images: A Two-Phase Model with Data Augmentation

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