Model Name: VGG16

Description: Detects the dominant objects present in an image from a set of 1,000 categories such as trees, animals, food, vehicles, people, and more. 
The top-5 error from the original publication is 7.4%.

Core ML Model Size: 553.5 MB
<https://developer.apple.com/machine-learning/>

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Source Link
<http://www.robots.ox.ac.uk/~vgg/research/very_deep/>

Keras Version Link
<https://github.com/fchollet/deep-learning-models/blob/master/vgg16.py>

Authors
Original: Karen Simonyan & Andrew Zisserman
Keras Implementation: François Chollet

Citations
Karen Simonyan, Andrew Zisserman. "Very Deep Convolutional Networks for Large-Scale Image Recognition." Paper <https://arxiv.org/abs/1409.1556>

Labels
Imagenet labels from https://gist.github.com/yrevar/942d3a0ac09ec9e5eb3a

License
Creative Commons Attribution 4.0 International (CC BY 4.0)
<https://creativecommons.org/licenses/by/4.0/>