AI engineering glossary · Computer vision
What is pretrained backbone?
Pretrained backbone (also called Backbone): A network already trained on a large dataset, whose early and middle layers serve as a general feature extractor for a new task. Detection and segmentation models attach task-specific heads to it.
Pretrained backbone: an example
A Faster R-CNN detector uses an ImageNet-pretrained ResNet-50 as its backbone.
Related terms
More Computer vision terms
Where you learn it
Pretrained backbone is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.