Detection and recognition of objects on aerial photographs using convolutional neural networks
Vitalii A. Pavlov, Marina A. Galeeva · Journal of Physics Conference Series · 2019
Abstract The article is devoted to the use of neural network methods to solve the problem of detection and classification of small objects on aerial photographs. The architectures of YOLO 2 and YOLO 3 are discussed. The training procedure is described, the obtained results are analyzed. During the work it was shown that the considered architectures can be used to solve the problem of detecting and classifying objects in images obtained as a result of aerial photography.