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:
Yuliang Liu
2024-05-07 23:12:25 +08:00
committed by GitHub
parent c62cb53e31
commit 9aa44f46aa
1 changed files with 5 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

5
README.md
View File

@@ -20,6 +20,11 @@
| OCRBench Images | [OCRBench Images](https://drive.google.com/file/d/1a3VRJx3V3SdOmPr7499Ky0Ug8AwqGUHO/view?usp=drive_link) | This file only contains the images used in OCRBench. |
| Test Results | [Test Results](https://drive.google.com/drive/folders/15XlHCuNTavI1Ihqm4G7u3J34BHpkaqyE?usp=drive_link) | This file file contains the result files for the test models. |
# Related Dataset
| Data | Link | Description |
| --- | --- | --- |
| EST-VQA Dataset | [Link](https://github.com/xinke-wang/EST-VQA) | On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering. |
# OCRBench
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.