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Code for the Airbus Ship Detection on Kaggle, modified for the Machine Learning for Vision and Multimedia class at Politecnico di Torino

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airbus-ship-detection

Code for the Airbus Ship Detection on Kaggle, modified for the Machine Learning for Vision and Multimedia class at Politecnico di Torino, with a focus on Data Augmentation Techniques

TODO

  • Bayesian Data Augmentation
  • Fourier Based Data Augmentation
  • Gaussian Patch Data Augmentation
  • Random Noise Data Augmentation
  • Geometric Transformations

Targets

The target (ground-truths) are a list of dictionaries, containing three fields

"boxes": tensor([], dtype=torch.float64),
"label": tensor([], dtype=torch.int64),
"image_id": str

Previously we used git lfs

This repository used git lfs for tracking large files, read more about it here

Instructions for Arch Linux

paru -Syu git-lfs
git lfs install

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Code for the Airbus Ship Detection on Kaggle, modified for the Machine Learning for Vision and Multimedia class at Politecnico di Torino

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