SqueezeNet 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. SqueezeNet has a similar level of accuracy as AlexNet but with a footprint of only 4.7 MB.

Authors

Forrest N. Iandola and Song Han and Matthew W. Moskewicz and Khalid Ashraf and William J.

Resources