Core Concepts
Entity6K introduces a comprehensive dataset for real-world entity recognition, addressing the lack of suitable evaluation datasets in this field.
Abstract
Abstract: Entity6K is a dataset with 5,700 entities across 26 categories, each supported by human-verified images and annotations.
Introduction: Recognizing entities from images is challenging due to visual complexity and open-domain nature.
Related Work: Studies on open-domain entity recognition, zero-shot image classification, and object detection are discussed.
Entity6K Dataset: Details on data acquisition, human annotation process, and dataset statistics are provided.
Experimental Settings: Four tasks were chosen for evaluation benchmarks with specific metrics and baseline models.
Experimental Results: General insights and detailed results for each task category are presented.
More Related Work: Additional information on related work in entity recognition is included.
Stats
Entity6K features 5,700 entities across 26 categories with human-verified images and annotations.