Next-generation scene text recognition benchmark assembled from 14 datasets (4M labeled + 10M unlabeled images). Accuracy drops 33-48% vs standard benchmarks, exposing real-world model limitations across 7 challenge categories: Artistic, Multi-Oriented, Salient, Multi-Words, General, Contextless, Incomplete.
No benchmark results available yet for Union14M.
Check back soon as we continue collecting data.