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WhaleTails
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This project created to analyze, compare and identify whale tails from the Kaggle competition dataset, "Humpback Whale Identification Challenge". It is written in Python, and uses the Keras API with Tensorflow backend. The project implemented both a Siamese Network and a SoftMax classifier with center loss.
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 		2023-06-12 19:29:42 +00:00
preprocessing_files Commit weights and preprocessing files 2018-08-15 17:28:14 -07:00
saved_arrays Added files for saved arrays 2018-08-16 14:29:13 -07:00
whale_tail_weights Commit weights and preprocessing files 2018-08-15 17:28:14 -07:00
.gitignore Initial commit 2018-08-13 14:03:11 -07:00
LICENSE Initial commit 2018-08-13 14:03:13 -07:00
README.md Initial commit 2018-08-13 14:03:14 -07:00
SECURITY.md Microsoft mandatory file 2023-06-02 18:34:34 +00:00
WhaleTailsKNN.ipynb Commit Python Notebooks 2018-08-15 17:25:43 -07:00
WhaleTailsSiamese.ipynb Commit Python Notebooks 2018-08-15 17:25:43 -07:00
WhaleTailsSoftmaxCenter.ipynb Commit Python Notebooks 2018-08-15 17:25:43 -07:00

README.md

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.