Session
Mechatronics, System Engineering and Robotics
Description
Image classification application has recently been covering a high number of research fields. In the other hand as the performance of the mobile devices is being updated day by day, the implementation of image recognition algorithms in them, is not only being trendy but very helpful in everyday tasks. With the automatic monument recognition, visiting a city is easy and fun. This application recognizes the captured monument, gives useful information and describes that particular landmark.
In this paper there are used four historical monuments of the city of Prizren, Kosovo and the aim is to classify these four famous monuments.
The images where taken specially for the research from the different angles of the city and the dataset for the classification process has been created.
One of the most convenient algorithms of Deep Learning is used for the classification of these four types of monuments. Using Matlab, a convolutional neural network architecture is adopted for the training of the created model.
After the model is fully trained, it is validated and tested to calculate the accuracy of the model.
Keywords:
Convolutional Neural Networks, monument recognition, deep learning, accuracy.
Session Chair
Peter Kopacek
Session Co-Chair
Thomas Duda
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-550-19-2
First Page
22
Last Page
29
Location
Pristina, Kosovo
Start Date
26-10-2019 11:00 AM
End Date
26-10-2019 12:30 PM
DOI
10.33107/ubt-ic.2019.149
Recommended Citation
Karahoda, Bertan and Futko, Annea, "IMAGE BASED RECOGNITION OF THE MONUMENTS IN PRIZREN" (2019). UBT International Conference. 149.
https://knowledgecenter.ubt-uni.net/conference/2019/events/149
Included in
IMAGE BASED RECOGNITION OF THE MONUMENTS IN PRIZREN
Pristina, Kosovo
Image classification application has recently been covering a high number of research fields. In the other hand as the performance of the mobile devices is being updated day by day, the implementation of image recognition algorithms in them, is not only being trendy but very helpful in everyday tasks. With the automatic monument recognition, visiting a city is easy and fun. This application recognizes the captured monument, gives useful information and describes that particular landmark.
In this paper there are used four historical monuments of the city of Prizren, Kosovo and the aim is to classify these four famous monuments.
The images where taken specially for the research from the different angles of the city and the dataset for the classification process has been created.
One of the most convenient algorithms of Deep Learning is used for the classification of these four types of monuments. Using Matlab, a convolutional neural network architecture is adopted for the training of the created model.
After the model is fully trained, it is validated and tested to calculate the accuracy of the model.