pydata2017
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yinleon
This is the code and presentation for my PyData2017 talk "Reverse Image Search Using Out-of-the-box Machine Learning Libraries
Reverse Image Search
This repo is for my presentation at PyData 2017.
It demonstrates how to utilize Keras' pretrained ResNet50 convolutional neural network and scikit-learns K-nearest neighbors for a reverse image search enginer.
There is no requirements.txt file, becuase configuring tensorflow and keras can be finicky.
I ran the code use Keras with Tensorflow and just one nvidia k80 GPU.
Here is a video.
Copyright
Copyright (c) 2018 Leon Yin. All Rights Reserved.
Research Outputs
If you use this method in your research please cite this as:
@booklet{key,
author = {Leon Yin},
title = {Reverse Image Search Using Out-of-the-box Machine Learning Libraries},
howpublished= {Paper presented at PyData 2017, New York NY},
year = {2017}
}
Conversely if this software was helpful you can cite it as:
@software{ReverseImageSearch,
author = {Leon Yin},
title = {ReverseImageSearch},
year = {2017}
howpublished = {https://github.com/yinleon/pydata2017},
}
Next Steps
I am trying to build a UI for this to be used at Data & Society and journalists.
Conclusion
Thanks for stopping by! Please contact me over social media or elsewhere if you have any questions, concerns, or post an Issue if anything looks funky.
yinleon