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Deep neural network learning methods with limited datasets
Németh, Filip ; Vičar, Tomáš (referee) ; Jakubíček, Roman (advisor)
The master thesis aims to investigate the effectiveness of deep neural networks in image processing with limited training data. As part of the work, the effects of various techniques and approaches on the learning of these networks were analyzed, including transfer learning, data augmentation, and neural style transfer method. Experimental results suggest that transfer learning using pre-trained weights from large datasets such as ImageNet is effective in improving results on limited data, achieving high F1-scores. The use of different forms of data augmentation can lead to variable results, where it provides different advantages and disadvantages that have a significant impact on the success and efficiency of the models. In general, the method using a neural style transfer network does not yield significant improvements and proved less effective for dataset with a large diversity of perspectives and geometric features.
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Validity of Local Positioning System
Németh, Filip ; MPA, David Prycl, (referee) ; Hanák, Petr (advisor)
The aim of this presented thesis is to verify the validation of LPS, which runs on the principle of wave radiations, UWB technology in particular. The testing protocol verifies the precision of system functions in various places and two diferent altitudes of the pitch. The ultimate precision of monitoring was recorded in the middle of the pitch, vanishing to the sides. In a higher altitude, with no surrounding walls, the recordings from the middle of the pitch were nearly similar to the sides of it. The anchor altitudes of the mechanism affect the overall monitored results. In comparison, the accuracy of tag placed approximately in a plane of anchors was lower than tag placed in a vest of an athlete.
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Validity of Local Positioning System
Németh, Filip ; MPA, David Prycl, (referee) ; Hanák, Petr (advisor)
The aim of this presented thesis is to verify the validation of LPS, which runs on the principle of wave radiations, UWB technology in particular. The testing protocol verifies the precision of system functions in various places and two diferent altitudes of the pitch. The ultimate precision of monitoring was recorded in the middle of the pitch, vanishing to the sides. In a higher altitude, with no surrounding walls, the recordings from the middle of the pitch were nearly similar to the sides of it. The anchor altitudes of the mechanism affect the overall monitored results. In comparison, the accuracy of tag placed approximately in a plane of anchors was lower than tag placed in a vest of an athlete.
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