refine doc (#4455)

docs/module_usage/tutorials/ocr_modules/layout_detection.en.md

@@ -65,7 +65,7 @@ The core task of structure analysis is to parse and segment the content of input
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-* <b>The layout detection model includes 23 common categories: document title, paragraph title, text, page number, abstract, table of contents, references, footnotes, header, footer, algorithm, formula, formula number, image, figure caption, table, table caption, seal, figure title, figure, header image, footer image, and sidebar text</b>
+* <b>The layout detection model includes 23 common categories: document title, paragraph title, text, page number, abstract, table of contents, references, footnotes, header, footer, algorithm, formula, formula number, image, figure title, table, table title, seal, chart title, chart, header image, footer image, and sidebar text</b>
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docs/module_usage/tutorials/ocr_modules/layout_detection.md

@@ -67,7 +67,7 @@ comments: true
 
 <b>注：以上精度指标的评估集是自建的版面子区域检测数据集，包含中英文论文、杂志、报纸、研报、PPT、试卷、课本等 1000 张文档类型图片。</b>
 
-* <b>版面检测模型，包含23个常见的类别：文档标题、段落标题、文本、页码、摘要、目录、参考文献、脚注、页眉、页脚、算法、公式、公式编号、图像、图表标题、表格、表格标题、印章、图表标题、图表、页眉图像、页脚图像、侧栏文本</b>
+* <b>版面检测模型，包含23个常见的类别：文档标题、段落标题、文本、页码、摘要、目录、参考文献、脚注、页眉、页脚、算法、公式、公式编号、图像、图像标题、表格、表格标题、印章、图表标题、图表、页眉图像、页脚图像、侧栏文本</b>
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