Semantic segmentation, a computer vision task that involves assigning a label to each pixel in an image, has many applications to topics such as medical imaging or autonomous driving. This project used the deep learning architecture Deeplabv3 to analyze traffi c video using semantic segmentation in order to quantify and make predictions about the intensity of vehicular traffi c in traffi c video.
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