Let's Go Shopping (LGS) -- Web-Scale Image-Text Dataset for Visual Concept Understanding

arXiv:2401.04575v2 Announce Type: replace
Abstract: Vision and vision-language applications of neural networks, such as image classification and captioning, rely on large-scale annotated datasets that require non-trivial data-collecting processes. This time-consuming endeavor hinders the emergence of large-scale datasets, limiting researchers and practitioners to a small number of choices. Therefore, we seek more efficient ways to collect and annotate images. Previous initiatives have gathered captions from HTML alt-texts and crawled social media postings, but these data sources suffer from noise, sparsity, or …

abstract applications arxiv captioning classification concept cs.ai cs.cv data dataset datasets emergence endeavor image language networks neural networks processes researchers scale shopping small text type understanding vision visual web