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Annotated datasets are commonly used in the training and evaluation of tasksinvolving natural language and vision (image description generation, actionrecognition and visual question answering). However, many of the existingdatasets reflect problems that emerge in the process of data selection andannotation. Here we point out some of the difficulties and problems oneconfronts when creating and validating annotated vision and language datasets.

Annotation Methodologies for Vision and Language Dataset Creation