Retail-786k: a Large-Scale Dataset for Visual Entity Matching

arXiv:2309.17164v2 Announce Type: replace
Abstract: Entity Matching (EM) defines the task of learning to group objects by transferring semantic concepts from example groups (=entities) to unseen data. Despite the general availability of image data in the context of many EM-problems, most currently available EM-algorithms solely rely on (textual) meta data. In this paper, we introduce the first publicly available large-scale dataset for "visual entity matching", based on a production level use case in the retail domain. Using scanned advertisement leaflets, …

abstract algorithms arxiv availability concepts context cs.cv data dataset example general general availability image image data meta objects retail scale semantic textual type visual