VisionKG: Unleashing the Power of Visual Datasets via Knowledge Graph

arXiv:2309.13610v2 Announce Type: replace
Abstract: The availability of vast amounts of visual data with heterogeneous features is a key factor for developing, testing, and benchmarking of new computer vision (CV) algorithms and architectures. Most visual datasets are created and curated for specific tasks or with limited image data distribution for very specific situations, and there is no unified approach to manage and access them across diverse sources, tasks, and taxonomies. This not only creates unnecessary overheads when building robust visual …

arxiv cs.cv datasets graph knowledge knowledge graph power type via visual