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@@ -37,15 +37,15 @@ The dataset was created under the research project of Grant Agency of Czech Repu
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  ### Training Procedure
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- The training was done using Pytorch library, where CrossEntropyLoss() together with AdamW optimizer function. The training was done
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  ### Results & Metrics
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- The overall accuracy of training for all classes reaches 99%, the mean intersection of union reaches 70%.
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  #### Hardware
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- The training was done using NVIDIA Quadro P4000.
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  #### Software
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  ### Training Procedure
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+ The training was done using Pytorch library, where CrossEntropyLoss() together with AdamW optimizer function.
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  ### Results & Metrics
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+ The dataset has 1207 images in resolution of 416x416 pixels together with 1207 masks. The overall accuracy of training for all classes reaches 99%, the mean intersection of union reaches 70%.
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  #### Hardware
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+ The training was done using NVIDIA Quadro P4000 with CUDA support.
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  #### Software
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