Deep learning models rely on large annotated datasets in order to obtain good results. However, in many domains such as the security and healthcare domains there is a lack of large annotated datasets due to the high cost and long time needed to acquire and/or label relevant data. Transfer learning allows features that are learned from a large annotated dataset in a source domain to be transferred to a target domain only a small labelled dataset is available.

What does TNO offer on transfer learning?

TNO offers transfer learning methods for visual object recognition that make it possible to exploit already available but less representative data. TNO additionally offers methods that improve on traditional transfer learning methods by not only transferring features but also labels from the source domain.