research and approaches to the collection of annotated training data. I look at data annotation and its quality confounders … implementations of text and image annotation collection and stress the importance of careful task construction. I conclude by … illustrating the consequences for future research and applications of data annotation. The paper is intended give readers a …

entails engaging specialized individuals. In our crowd counting study, we employed the web-based annotation tool SuperAnnotate … to streamline the human annotation process for a dataset comprising 3,000 images. By integrating automated annotation … underscores the significant contribution of such technologies to the efficiency of the annotation process. …

considers the problem of semantic-based annotation of semi-structured documents, and proposes a semantic model for e …

considers the problem of semantic-based annotation of semi-structured documents, and proposes a semantic model for e …

annotation, which will be used in content based image retrieval systems. In this case the AGA performances are superior to GA …

capitalized for future reuse. In this paper, we propose in the first place, an annotation model for knowledge elicitation among EI …