Improvement of the model of object recognition in aero photographs using deep convolutional neural networks

@article{Slyusar2021ImprovementOT,
  title={Improvement of the model of object recognition in aero photographs using deep convolutional neural networks},
  author={Vadym Slyusar and Mykhailo Protsenko and Anton Chernukha and Pavlo Kovalov and Pavlo Borodych and Serhii Shevchenko and Oleksandr Chernikov and Serhii Vazhynskyi and Oleg Bogatov and Kirill Khrustalev},
  journal={Eastern-European Journal of Enterprise Technologies},
  year={2021}
}
Detection and recognition of objects in images is the main problem to be solved by computer vision systems. As part of solving this problem, the model of object recognition in aerial photographs taken from unmanned aerial vehicles has been improved. A study of object recognition in aerial photographs using deep convolutional neural networks has been carried out. Analysis of possible implementations showed that the AlexNet 2012 model (Canada) trained on the ImageNet image set (China) is most… 
2 Citations
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