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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,...
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... generate the output image the project strictly follows the steps mentioned in Figure 1. The operation begins with getting the input image and applying the mask RCNN to it, which then returns the masks of the detected vehicles in the image. ...
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... not using it fails to generate optimal results. In figure 10 the difference between the two methods is marked using a red mask. Red marks in figure 10 provide information on how much the dilation method is helping to improve the performance of this proposed method. ...
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... figure 10 the difference between the two methods is marked using a red mask. Red marks in figure 10 provide information on how much the dilation method is helping to improve the performance of this proposed method. More Outputs are given below in figure 11. ...
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... marks in figure 10 provide information on how much the dilation method is helping to improve the performance of this proposed method. More Outputs are given below in figure 11. The process described in this paper can be used to expand any dataset that has images of roadways with vehicles. ...
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