Pothole detection and avoidance system

Date:

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This project is based on recognizing potholes and avoiding road accidents.

  • Project description:
    • Implemented semantic segmentation network to recognize pothole to avoid road accidents. Performed data preprocessing using image labeler tool in MATLAB for pixel level classification.
    • Trained the network with 240 images and extensive comparisons with techniques such as edge detection and thresholding on dataset images. Achieved validation accuracy of 62.5%. The resources for the talk are here.