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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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... the second stage, the proposed regions from the first stage are used to generate bounding boxes with a similar process to that of the first stage but here anchors are replaced with ROIAlign which then constructs masks for each detected object at the pixel level. Figure 2a shows an input image in which Mask RCNN detects multiple objects and assigns each of them a bounding box. After that, a mask is generated off of the instance segmentation of the vehicle as shown in Figure 3. ...
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