LICENSE

MIT License

Copyright (c) 2016 David Humphrey

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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SOFTWARE.

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Dolphin and Seahorse images in data/dolphins-and-seahorses from Caltech101
http://www.vision.caltech.edu/Image_Datasets/Caltech101/

L. Fei-Fei, R. Fergus and P. Perona. Learning generative visual models
from few training examples: an incremental Bayesian approach tested on
101 object categories. IEEE. CVPR 2004, Workshop on Generative-Model
Based Vision. 2004

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Dolphin and Seahorse images in data/untrained-samples from various:

https://unsplash.com/search/dolphin?photo=d93dJ4kehUg
https://unsplash.com/search/dolphin?photo=i5FsBOLsB50
https://unsplash.com/search/dolphin?photo=5tGiaWu1QQs
https://upload.wikimedia.org/wikipedia/commons/d/dd/Black_Sea_fauna_Seahorse.JPG
http://www.fusedjaw.com/wp-content/uploads/2003/10/Brazilian-Seahorse-In-Aquarium.jpg
https://cdn.pixabay.com/photo/2016/08/03/22/30/seahorse-1568021_640.jpg