ResNet50 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 7.8%.


Original Paper: Kaiming He and Xiangyu Zhang and Shaoqing Ren and Jian Sun
Keras Implementation: François Chollet


Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun. “Deep Residual Learning for Image Recognition.” Paper