The aim of this project is to build an application that can classify eleven (11) popular natural & architectural landmarks that are in Nigeria. These landmarks include
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Bowers Tower, Ibadan, Oyo State
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Gidan Rumfa, Kano, Kano State
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- Gurara Falls, Gurara, Niger State
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Kajuru Castle, Kajuru, Kaduna State
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National Theatre, Surulere, Lagos State
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National Ecumenical Center, Abuja, Federal Capital Territory (FCT)
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National Mosque, Abuja, FCT
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Olumo Rock, Abeokuta, Ogun State
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Osun Osogbo Sacred Grove, Osogbo, Osun State
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Tafawa Balewa Square (TBS), Onikan, Lagos State
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Zuma Rock, Abuja, FCT
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The data was scraped using the Google Image Scraper tool to extract all the images from Google
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Extracted the data
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Arranged and label the data
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Performed various Data Preprocessing techniques such as converting images into tensors and feature normalization/scaling
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Convolutional Neural Networks (CNN) using Data Augmentation and Transfer Learning / Pretrained Model to achieved best performance
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Tuned Inception V3 achieved best performance with 84% training accuracy and 93.3% test accuracy
Accuracy with Confusion Matrix was used to evaluate performance.
- Tuned Inception V3 with Data Augmentation
- Training Accuracy : 84%
- Testing Accuracy : 93.3%
- Confusion Matrix
The final model with the best score was deployed on a web application built with Streamlit
