Made a U-Net image segmentation model for the U-Net-based image segmentation model tailored for the Kaggle Cityscapes Image Pairs dataset. This model excels in semantic segmentation, accurately delineating various ele- ments within traffic images. Can be used in diverse computer vision applications, including traffic flow analysis, object recognition, and scene understanding.
– Implemented using Python and its libraries like Tensorflow, MatPlotLib, CV2 and NumPy
Traffic Image Segmentation Project by:
Kashish Aggarwal, Anushka Gupta, Mahua Singh, Mahek Choudhary