Crowdsourcing of Real-world Image Annotation via Visual Properties

ArXi:2604.14449v1 Announce Type: cross Recent advances in data-centric artificial intelligence highlight inherent limitations in object recognition datasets. One of the primary issues stems from the semantic gap problem, which results in complex many-to-many mappings between visual data and linguistic descriptions. This bias adversely affects performance in computer vision tasks.