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Measuring the uncertainty of deep neural network results

This project was part of the Computer Vision course (IA716) for the advanced master of AI (Télécom Paris) 2020/2021.

All code, report and results are reported in the notebook and structured as follows:

  • Presentation of the CamVid dataset used in the experiments
  • Construction of a neural network for semantic segmentation
  • Metrics for uncertainty evaluation of the predicted results
  • Methods for decreasing the uncertainty of the network