What's the different between ODHUB and DLHUB?

ODHUB focuses on computer vision tasks that detect objects and localize objects on video streams or images.

DLHUB is more about generic deep learning applications. You can use DLHUB for regression (prediction) and classification for any data, including images, audio signals, or tabula data formats. If you intend to use DLHUB for image classification, it will be similar to ODHUB (01 category) without giving you a bounding box (classify defect or normal, for example).

In terms of detection accuracy, DLHUB and ODHUB are similar.

In terms of inference speed, DLHUB might be much faster than ODHUB as you only need to deal with classification problems (not localization problems).