A pipeline that can be used within a web or mobile app to process real-world, user-supplied images. Given an image of a dog, our algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed.
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Clone the repository and navigate to the downloaded folder.
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Download the dog dataset. Unzip the folder and place it in the repo, at location
path/to/dog-project/dogImages. -
Download the human dataset. Unzip the folder and place it in the repo, at location
path/to/dog-project/lfw. If you are using a Windows machine, you are encouraged to use 7zip to extract the folder. -
Donwload the VGG-16 bottleneck features for the dog dataset. Place it in the repo, at location
path/to/dog-project/bottleneck_features. -
Open the notebook.
jupyter notebook dog_app.ipynb