quoccuongle/MultimodalOCR
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
qywh2023
2025-06-20 21:02:29 +08:00
committed by GitHub
parent 1b7fe0b2bf
commit b115d52e67
1 changed files with 6 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
README.md
View File

@@ -26,6 +26,12 @@ OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Vis
<p align="center">
<img src="https://v1.ax1x.com/2024/12/30/7VhCnP.jpg" width="88%" height="80%">
<p>
> **OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models**<br>
> Yuliang Liu, Zhang Li, Mingxin Huang, Biao Yang, Wenwen Yu, Chunyuan Li, Xucheng Yin, Cheng-lin Liu, Lianwen Jin, Xiang Bai <br>
[![arXiv](https://img.shields.io/badge/Arxiv-b31b1b.svg?logo=arXiv)](https://arxiv.org/abs/2305.07895)
[![Dataset](https://img.shields.io/badge/Dataset-Available-lightblue)](https://github.com/qywh2023/OCRbench/blob/main/OCRBench/README.md)
**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. More details can be found in [OCRBench README](./OCRBench/README.md).