VGG16 Object Detection

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%.

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

Resources