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deepUnet

Model folder has the functions for deep unet and regular unet architecture and function related to losses to optimize the model

Input folder: save test and train images along with train_masks.csv files from carvana kaggle competition

Submit folder: submission file is generated here

Run instructions:

  1. train.py to generate weights

  2. test_submit.py to use the weights to generate submission file

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deepUnet architecture image segmentation model as part of Kaggle carvana competition. This single model gives 0.9964 score on IoU metrics.

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  • Python 100.0%