Tag: Computer Vision

This study explores how sentiment and semantic variance analyses can be used to assess the quality of image captions in large datasets like COCO. By examining how human-generated captions reflect emotional tone and object context, the study reveals subtle biases and variations that influence model training outcomes in NLP and Computer Vision.