Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning
Piyush Kumar Sharma, Nan Ding, Sebastian Goodman, Radu Soricut · 2018
We present a new dataset of image caption annotations, Conceptual Captions, which contains an order of magnitude more images than the MS-COCO dataset (Lin et al., 2014) and represents a wider variety of both images and image caption styles.We achieve this by extracting and filtering image caption annotations from billions of webpages.We also present quantitative evaluations of a number of image captioning models and show that a model architecture based on Inception-ResNet-v2 (Szegedy et al., 2016) for image-feature extraction and Transformer (Vaswani et al., 2017) for sequence modeling achieves the best performance when trained on the Conceptual Captions dataset.