The MS-COCO dataset serves as a staple in evaluating text-to-image models, providing numerous labeled images which facilitate robust benchmark assessments of model performance.
Incorporating various datasets like CUB-200-2011 emphasizes the diversity needed for effective evaluation, enhancing our understanding of models' capabilities in text-image alignment.
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