About
OCRBench is a comprehensive evaluation benchmark designed to assess the OCR capabilities of Large Multimodal Models. It comprises five components: Text Recognition, SceneText-Centric VQA, Document-Oriented VQA, Key Information Extraction, and Handwritten Mathematical Expression Recognition. The benchmark includes 1000 question-answer pairs, and all the answers undergo manual verification and correction to ensure a more precise evaluation.
4 commits
1 contributor
0 downloads
4.5 gb
0 stars
Repository contents
10K image files > 99%
2 text files < 1%
2 tabular files < 1%
