IMAGE SEGMENTATION ACCURACY DEPENDING ON THE DEPTH OF U-NET MODEL
Keywords:accuracy, image segmentation, machine learning, neural network
AbstractThe aim of this work is to obtain information about impact of the depth of U-Net architecture model into segmentation accuracy. Experiment was completed using dataset of DSM images. Neural networks were trained to recognize building locations. Experiment considered to decrease the number of U-Net filter blokes to measure impact on result accuracy.
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