I running a custom Unet neural network to make image segmentation on TGS Salt dataset.
I wrote the code and made only one change - I changed the learning rate from 0.001 to 0.0001 to get the following results from the validation dataset.
| image | mask | prediction |
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I didn't try to change neural network architecture and hyperparameter tuning and because of that, the results could be better.