Deep Learning Based Vehicle Detection From Aerial Images

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DİKBAYIR H. S., BÜLBÜL H. İ.

19TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONSDECEMBER 14-17, 2020 MIAMI, FLORIDA, Miami, Florida, Amerika Birleşik Devletleri, 14 - 17 Aralık 2020 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/icmla51294.2020.00155
  • Basıldığı Şehir: Miami, Florida
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Gazi Üniversitesi Adresli: Evet

Özet

With the help of today's developing technology; many applications such as traffic monitoring, target detection, empty parking lot assignment etc. have become applicable with machine learning and deep learning methods. These applications are aimed to determine the desired object from the photographs. In this study, it is aimed to develop an approach that able to identify the vehicles through aerial images by using the YOLO algorithm, feeding it with a trained convolutional neural network structure. As a result of the study, an application that can detect vehicles was developed, increased the performance rate of the YOLO algorithm by 3.2%.