Automated data collection and semi-supervised processing framework for deep learning

The aim is to develop infrastructure for automated collection of big data and implement a framework that allows efficient processing, segmentation and annotation of this data for deep learning methods. The primary use case is VHF (very high frequency) radio communication and transcription,annotation and processing of recorded data. Please refer to the full topic descriptions document published in this call.