A comparative study on disaster detection from social media images using deep learning

Keywords

• flood disaster
• social media images
• disaster detection
• VGG16
• InceptionResNetV2
• InceptionV3
• fire disaster
• humanitarian technology
• image dataset creation

CCDS Authors

AKM Mahbubur Rahman, PhD

AKM Mahbubur Rahman, PhD

• Director, DS & IPT Wings

Associate Professor

Department of Computer Science and Engineering

Independent University, Bangladesh

Published at

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

Prof. M Ashraful Amin, PhD

Prof. M Ashraful Amin, PhD

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

Professor

+1 more affiliation

Department of Information Sciences and Technology

George Mason University, USA

Published at

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

Research Interests

Machine Learning, Cognitive & Vision Science, Cybernetics, Surveillance & Security, ICT in Education, Health, & Agriculture, Human-Computer Interaction, Internet of Things, Robotics

Amin Ahsan Ali, PhD

Amin Ahsan Ali, PhD

• Director, AI/ML Wing

Professor

Department of Computer Science and Engineering

Independent University, Bangladesh

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

Research Interests

Artificial Intelligence, Machine Learning

References

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3. 3.Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alexander A. Alemi. (2017). Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning. Proceedings of the AAAI Conference on Artificial Intelligence, 31(1)[10.1609/aaai.v31i1.11231]
4. 4.Xiangyu Zhang, Jianhua Zou, Kaiming He, Jian Sun. (2015). Accelerating Very Deep Convolutional Networks for Classification and Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(10), 1943–1955[10.1109/tpami.2015.2502579]
5. 5.Khan Muhammad, Jamil Ahmad, Sung Wook Baik. (2017). Early fire detection using convolutional neural networks during surveillance for effective disaster management. Neurocomputing, 288, 30–42[10.1016/j.neucom.2017.04.083]
6. 6.Dat T. Nguyen, Ferda Ofli, Muhammad Imran, Prasenjit Mitra. (2017). Damage Assessment from Social Media Imagery Data During Disasters. , 569–576[10.1145/3110025.3110109]
7. 7.Firoj Alam, Muhammad Imran, Ferda Ofli. (2017). Image4Act. , 601–604[10.1145/3110025.3110164]
8. 8.Hussein Mouzannar, Yara Rizk, Mariette Awad. (2018). Damage Identification in Social Media Posts using Multimodal Deep Learning.. ISCRAM
9. 9.Konstantinos Avgerinakis, Anastasia Moumtzidou, Stelios Andreadis, Emmanouil Michail, Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris. (2017). Visual and Textual Analysis of Social Media and Satellite Images for Flood Detection @ Multimedia Satellite Task MediaEval 2017.. MediaEval
10. 10.Yara Rizk, Hadi S. Jomaa, Mariette Awad, Carlos Castillo. (2019). A computationally efficient multi-modal classification approach of disaster-related Twitter images. , 2050–2059[10.1145/3297280.3297481]
11. 11.M. Ashraful Amin, Mahmood Kazi Mohammed. (2015). Overview of the ImageCLEF 2015 medical clustering task. CLEF (Working Notes)
12. 12.Panagiotis Giannakeris, Konstantinos Avgerinakis, Αναστάσιος Καρακώστας, Stefanos Vrochidis, Ioannis Kompatsiaris. (2018). People and Vehicles in Danger - A Fire and Flood Detection System in Social Media. , 1–5[10.1109/ivmspw.2018.8448732]
13. 13.Anouck Adrot, Rob Grace, Christopher W. Zobel, Kathleen Moore. (2021). 18th International Conference on Information Systems for Crisis Response and Management. HAL (Le Centre pour la Communication Scientifique Directe)

Cited By

1. 1.Fahim Faisal Niloy, Arif, Abu Bakar Siddik Nayem, Anis Sarker, Ovi Paul, M. Ashraful Amin, Amin Ahsan Ali, Moinul Islam Zaber, AKM Mahbubur Rahman. (2021). A Novel Disaster Image Data-set and Characteristics Analysis using Attention Model. , 6116–6122[10.1109/icpr48806.2021.9412504]
2. 2.Tanu Gupta, Sudip Roy. (2024). DisasterRes-Net: A framework for analyzing social media images in disaster response. International Journal of Disaster Risk Reduction, 116, 105119[10.1016/j.ijdrr.2024.105119]
3. 3.Tanu Gupta, Sudip Roy. (2023). Handcrafted Features Based Analysis of Social Media Images for Disaster Response. , 1–6[10.1109/ict-dm58371.2023.10286923]
4. 4.Sayan Kumar Bhowmick, Asit Barman, Swalpa Kumar Roy. (2025). Thresholding metrics for evaluating explainable AI models in disaster response: Enhancing interpretability and model trustworthiness. Digital Signal Processing, 160, 105068[10.1016/j.dsp.2025.105068]
5. 5.Alain Patrick Ndigande, Josiah Wiggins, Sedat Ozer. (2026). Survey on Disaster Management Datasets for Remote Sensing-Based Emergency Applications. IEEE Transactions on Geoscience and Remote Sensing, 64, 4705121[10.1109/tgrs.2026.3692760]