Conference Paper2025Cited by 1

RGC-Bent: A Novel Dataset for Bent Radio Galaxy Classification

Mir Sazzat Hossain, Khan Muhammad Bin Asad, Payaswini Saikia, Adrita Khan, Md Akil Raihan Iftee, Rakibul Hasan Rajib, Arshad Momen, Md Ashraful Amin, Amin Ahsan Ali, AKM Mahbubur Rahman

2025 IEEE International Conference on Image Processing (ICIP)

IEEE, pp. 2868–2873

DOI: 10.1109/icip55913.2025.11084387URL

Abstract

We introduce a novel machine learning dataset tailored for the classification of bent radio active galactic nuclei (AGN) in astronomical observations. Bent radio AGN, distinguished by their curved jet structures, provide critical insights into galaxy cluster dynamics, interactions within the intracluster medium, and the broader physics of AGN. Despite their astrophysical significance, the classification of bent radio AGN remains a challenge due to the scarcity of specialized datasets and benchmarks. To address this, we present a dataset, derived from a well-recognized radio astronomy survey, that is designed to support the classification of NAT (Narrow-Angle Tail) and WAT (Wide-Angle Tail) categories, along with detailed data processing steps. We further evaluate the performance of state-of-the-art deep learning models on the dataset, including Convolutional Neural Networks (CNNs), and transformer-based architectures. Our results demonstrate the effectiveness of advanced machine learning models in classifying bent radio AGN, with ConvNeXT achieving the highest F1-scores for both NAT and WAT sources. By sharing this dataset and benchmarks, we aim to facilitate the advancement of research in AGN classification, galaxy cluster environments and galaxy evolution. The source code is available at: https://github.com/mirsazzathossain/RGC-Bent

Keywords

  • intracluster medium
  • active galactic nuclei
  • convolutional neural networks
  • ConvNeXt
  • galaxy clusters
  • radio galaxy classification
  • astronomical image classification
  • transformer models

CCDS Authors

Mir Sazzat Hossain
Mir Sazzat Hossain

Mir Sazzat Hossain

  • Research Assistant, CCDS

  • Bachelors

    Independent University, Bangladesh (IUB)

Published at

WACV, IJCNN, ICIP, Smart Agricultural Technology

Payaswini Saikia, PhD
Payaswini Saikia, PhD

Payaswini Saikia, PhD

  • Collaborator, ComPAs Wing

  • Postdoctoral Researcher

    New York University Abu Dhabi

Published at

ICIP

Adrita Khan
Adrita Khan

Adrita Khan

  • Alumni, CCDS

  • Master's Student

    University of Bonn, Germany

  • Bachelors

    Universiti Sains Malaysia

Published at

ICIP

MD Md Akil Raihan Iftee
Md Akil Raihan Iftee

MD Md Akil Raihan Iftee

  • Alumni, CCDS

  • PhD Student

    Rochester Institute of Technology, USA

  • BSc

    Khulna University of Engineering & Technology, Bangladesh

Published at

IJCNN, ICIP

Rakibul Hasan Rajib
Rakibul Hasan Rajib

Rakibul Hasan Rajib

  • Alumni, CCDS

  • PhD Student

    University of Central Florida, USA

  • BSc

    Independent University, Bangladesh (IUB)

Published at

IJCNN, ICIP, Scientific Reports

Prof. M Ashraful Amin, PhD
M Ashraful Amin, PhD

Prof. M Ashraful Amin, PhD

  • Founder Director, CCDS
  • Director, AI/ML, HCI & DS Wings

Published at

ACL, CHI, UbiComp, ECAI, WACV, PAKDD, IJCNN, ICPR, ICIP, HCII, CLEF, BLP, Scientific Reports, Pattern Recognition, JMIR, IEEE Access, Smart Agricultural Technology, Frontiers in Computational Neuroscience, Diabetes Research and Clinical Practice, PLOS ONE

Prof. Amin Ahsan Ali, PhD
Amin Ahsan Ali, PhD

Prof. Amin Ahsan Ali, PhD

  • Director, AI/ML Wing
  • Supervisor, ComBio Wing

  • Professor

    Department of Computer Science and Engineering

    Independent University, Bangladesh (IUB)

Published at

ACL, CHI, UbiComp, ECCV, IJCAI, ECAI, WACV, IPSN, PAKDD, LREC, IJCNN, ICPR, ICIP, BEA, BLP, ICMLA, Scientific Reports, Scientific Data, Pattern Recognition, Information Sciences, Ad Hoc Networks, Drug and Alcohol Dependence, PLOS ONE

AKM Mahbubur Rahman, PhD
AKM Mahbubur Rhman, PhD

AKM Mahbubur Rahman, PhD

  • Director, DS & IPT Wings

  • Associate Professor

    Department of Computer Science and Engineering

    Independent University, Bangladesh (IUB)

Published at

CHI, ECCV, WACV, PAKDD, LREC, IJCNN, ICPR, ICIP, HCII, BEA, Scientific Reports, Information Sciences

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Cited By

  1. 1.M. S. Hossain, M. S. H. Shahal, K. M. B. Asad, P. Saikia, A. Khan, F. Akter, A. A. Ali, M. A. Amin, D. P. Guha, M. Hasan, M. O. B. Jihad, A. Momen, S. Sen, A. K. M. M. Rahman. (2026). RGC: A radio AGN classifier based on deep learning. Astronomy and Astrophysics, 714, A5[10.1051/0004-6361/202557828]
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