/crack-segmentation

SUT-Crack segmentation U-Net

Primary LanguageJupyter Notebook

Asphalt Pavement Crack Segmentation U-Net

I have used the following methods.

  • Dice coefficient implementation,
  • Custom layers for encoding and decoding,
  • Custom callback class that used predicting a sample from the test dataset during training

Result

graph

Model Improvement During Training

Unknown-3 Unknown-4

Predictions

Unknown-2

References

  1. [Dataset] Sabouri, Mohammadreza; Sepidbar, Alireza (2023), “SUT-Crack”, Mendeley Data, V5, doi: 10.17632/gsbmknrhkv.5
  2. Ronneberger, O., Fischer, P., & Brox, T. (2015). U-Net: Convolutional Networks for Biomedical Image Segmentation https://doi.org/10.48550/ARXIV.1505.04597