DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis

arXiv:2201.08295v3 Announce Type: replace
Abstract: Deep learning methods have shown strong performance in solving tasks for historical document image analysis. However, despite current libraries and frameworks, programming an experiment or a set of experiments and executing them can be time-consuming. This is why we propose an open-source deep learning framework, DIVA-DAF, which is based on PyTorch Lightning and specifically designed for historical document analysis. Pre-implemented tasks such as segmentation and classification can be easily used or customized. It is also …

abstract analysis arxiv cs.cv current deep learning deep learning framework document experiment framework frameworks image libraries performance programming set tasks them type