This notebook was created for use in Anadolu Sigorta Datathon. The competition awarded the solution with fourth place on the basis of the score, and the third place when evaluated together with the presentations.
- Image Augmentation
- Customizing weights for class-imbalance
- Pre-trained backbone (DeepLabV3+)
- Pre-training on minority classes
- Full-training with 3 seperate model on full-data
- Blended prediction
You can run the notebook file to execute full process.
@misc{ozturk2020_anadoludatathon,
author = {Ozturk, Anil and Gunel, Mustafa Burak},
title = {Identifying Structural Damages with Image Segmentation},
year = {2020},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/nlztrk/kaggle_identifying_structural_damages}},
}