YOLOv3 algorithm for object detection in aerial photos using standard pre trained networks
| Autor: | Ana Šarić Gudelj, Tea Marasović, Vladan Papić |
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| Přispěvatelé: | Perković, Toni, Vukojević, Katarina, Rodrigues, Joel, Nižetić, Sandro, Patrono, Luigi, Šolić, Petar |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: | |
| Popis: | In this article we made test of object detection on three sets of images using YOLO v3 algorithm and deep neural network (DNN) Darknet framework. The concept of DNN Darknet framework and CUDA is explained, with accent on processing speed. Behavior of the used architecture with pre trained Alexnet and ImageNet convolutional neural network when aerial orthogonal photos are used as input was investigated. Obtained results were compared to results of standard images. |
| Databáze: | OpenAIRE |
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