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A popular method for training a machine learning model is to use a data-driven approach. This research contributes to expanding the dataset of urban road images without vehicles. Using this method will benefit a variety of existing and new research projects that require an empty road to train their data-driven model. To achieve the desired result,...
This was the presentation slide for CONIT 2021 which is held during 25-27 June
Data augmentation is a common technique to increase dataset. This study proposes a method that generates image data of empty road dataset. Data-driven approach is a popular approach to training an intelligent model. Various existing researches or new researches that require the empty road to train their data-driven model will be benefited by using...