A Model for Identifying Historical Landmarks of Bangladesh from Image Content Using a Depth-Wise Convolutional Neural Network

  • Afsana Ahsan Jeny
  • Masum Shah Junayed
  • Syeda Tanjila AtikEmail author
  • Sazzad Mahamd
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 940)


At present, tourism is considered to be one of the key factors shaping the development of a country’s economy. Most of the tourists tend to explore places that they find fascinating after watching pictures of that places over Internet. Anyone can know about a famous place by simply typing the name of that place in an internet browser. But problem arises when he/she comes across the image of a beautiful landmark which is anonymous as most of the time web images do not convey any text caption. Most of models provided for image identification so far exhibit much complex structure and increased time complexity. In this paper, we have proposed a CNN model based on MobileNet and TensorFlow for detecting some historical landmarks of Bangladesh from their image. We have examined 750 images from five different places and comparing other state-of-art models, our model holds relatively simpler structure and has achieved a significantly higher average accuracy of 99.2%. This model can be further enhanced to facilitate image classification in other related areas.


Convolutional neural networks TensorFlow MobileNet Historical place detection Image processing 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Afsana Ahsan Jeny
    • 1
  • Masum Shah Junayed
    • 1
  • Syeda Tanjila Atik
    • 1
    Email author
  • Sazzad Mahamd
    • 1
  1. 1.Daffodil International UniversityDhakaBangladesh

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