@@ -14,39 +14,41 @@ PaddleOCR场景应用覆盖通用,制造、金融、交通行业的主要OCR
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| 类别 | 亮点 | 模型下载 | 教程 | 示例图 |
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| ---------------------- | ------------------------------------------------------------ | -------------- | --------------------------------------- | ------------------------------------------------------------ |
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- | 高精度中文识别模型SVTR | 比PP-OCRv3识别模型精度高3%,<br />可用于数据挖掘或对预测效率要求不高的场景。 | [ 模型下载] ( #2 ) | [ 中文] ( ./高精度中文识别模型.md ) /English | <img src =" ./images/svtr_tiny-20240708094336228.png " alt =" img " width = " 200 " height = " 100 " /> |
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- | 手写体识别 | 新增字形支持 | [ 模型下载] ( #2 ) | [ 中文] ( ./手写文字识别.md ) /English | <img src =" ./images/7a8865.png " width = " 200 " height = " 100 " /> |
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+ | 高精度中文识别模型SVTR | 比PP-OCRv3识别模型精度高3%,<br />可用于数据挖掘或对预测效率要求不高的场景。 | [ 模型下载] ( #_7 ) | [ 中文] ( ./高精度中文识别模型.md ) /English | <img src =" ./images/svtr_tiny-20240708094336228.png " alt =" img " width = " 200 " height = " 100 " /> |
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+ | 手写体识别 | 新增字形支持 | [ 模型下载] ( #_7 ) | [ 中文] ( ./手写文字识别.md ) /English | <img src =" ./images/7a8865.png " width = " 200 " height = " 100 " /> |
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### 制造
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| 类别 | 亮点 | 模型下载 | 教程 | 示例图 |
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| -------------- | ------------------------------ | -------------- | ------------------------------------------------------------ | ------------------------------------------------------------ |
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- | 数码管识别 | 数码管数据合成、漏识别调优 | [ 模型下载] ( #2 ) | [ 中文] ( ./光功率计数码管字符识别/光功率计数码管字符识别.md ) /English | <img src =" ./images/7d5774a.png " width = " 200 " height = " 100 " /> |
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- | 液晶屏读数识别 | 检测模型蒸馏、Serving部署 | [ 模型下载] ( #2 ) | [ 中文] ( ./液晶屏读数识别.md ) /English | <img src =" ./images/901ab741cb46441ebec510b37e63b9d8d1b7c95f63cc4e5e8757f35179ae6373.png " width = " 200 " height = " 100 " /> |
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- | 包装生产日期 | 点阵字符合成、过曝过暗文字识别 | [ 模型下载] ( #2 ) | [ 中文] ( ./包装生产日期识别.md ) /English | <img src =" ./images/68747470733.png " width = " 200 " height = " 100 " /> |
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- | PCB文字识别 | 小尺寸文本检测与识别 | [ 模型下载] ( #2 ) | [ 中文] ( ./PCB字符识别/PCB字符识别.md ) /English | <img src =" ./images/95d8e95bf1ab476987f2519c0f8f0c60a0cdc2c444804ed6ab08f2f7ab054880.png " width = " 200 " height = " 100 " /> |
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- | 电表识别 | 大分辨率图像检测调优 | [ 模型下载] ( #2 ) | | |
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+ | 数码管识别 | 数码管数据合成、漏识别调优 | [ 模型下载] ( #_7 ) | [ 中文] ( ./光功率计数码管字符识别/光功率计数码管字符识别.md ) /English | <img src =" ./images/7d5774a.png " width = " 200 " height = " 100 " /> |
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+ | 液晶屏读数识别 | 检测模型蒸馏、Serving部署 | [ 模型下载] ( #_7 ) | [ 中文] ( ./液晶屏读数识别.md ) /English | <img src =" ./images/901ab741cb46441ebec510b37e63b9d8d1b7c95f63cc4e5e8757f35179ae6373.png " width = " 200 " height = " 100 " /> |
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+ | 包装生产日期 | 点阵字符合成、过曝过暗文字识别 | [ 模型下载] ( #_7 ) | [ 中文] ( ./包装生产日期识别.md ) /English | <img src =" ./images/68747470733.png " width = " 200 " height = " 100 " /> |
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+ | PCB文字识别 | 小尺寸文本检测与识别 | [ 模型下载] ( #_7 ) | [ 中文] ( ./PCB字符识别/PCB字符识别.md ) /English | <img src =" ./images/95d8e95bf1ab476987f2519c0f8f0c60a0cdc2c444804ed6ab08f2f7ab054880.png " width = " 200 " height = " 100 " /> |
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+ | 电表识别 | 大分辨率图像检测调优 | [ 模型下载] ( #_7 ) | | |
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| 液晶屏缺陷检测 | 非文字字符识别 | | | |
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### 金融
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| 类别 | 亮点 | 模型下载 | 教程 | 示例图 |
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| -------------- | ----------------------------- | -------------- | ----------------------------------------- | ------------------------------------------------------------ |
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- | 表单VQA | 多模态通用表单结构化提取 | [ 模型下载] ( #2 ) | [ 中文] ( ./多模态表单识别.md ) /English | <img src =" ./images/a3b25766f3074d2facdf88d4a60fc76612f51992fd124cf5bd846b213130665b.jpeg " width = " 200 " height = " 200 " /> |
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- | 增值税发票 | 关键信息抽取,SER、RE任务训练 | [ 模型下载] ( #2 ) | [ 中文] ( ./发票关键信息抽取.md ) /English | <img src =" ./images/185393805-c67ff571-cf7e-4217-a4b0-8b396c4f22bb-20240704185610566.jpg " width = " 200 " /> |
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- | 印章检测与识别 | 端到端弯曲文本识别 | [ 模型下载] ( #2 ) | [ 中文] ( ./印章弯曲文字识别.md ) /English | <img src =" ./images/498119182f0a414ab86ae2de752fa31c9ddc3a74a76847049cc57884602cb269.png " width = " 150 " /> |
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- | 通用卡证识别 | 通用结构化提取 | [ 模型下载] ( #2 ) | [ 中文] ( ./快速构建卡证类OCR.md ) /English | <img src =" ./images/981640e17d05487e961162f8576c9e11634ca157f79048d4bd9d3bc21722afe8.jpeg " width = " 300 " /> |
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+ | 表单VQA | 多模态通用表单结构化提取 | [ 模型下载] ( #_7 ) | [ 中文] ( ./多模态表单识别.md ) /English | <img src =" ./images/a3b25766f3074d2facdf88d4a60fc76612f51992fd124cf5bd846b213130665b.jpeg " width = " 200 " height = " 200 " /> |
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+ | 增值税发票 | 关键信息抽取,SER、RE任务训练 | [ 模型下载] ( #_7 ) | [ 中文] ( ./发票关键信息抽取.md ) /English | <img src =" ./images/185393805-c67ff571-cf7e-4217-a4b0-8b396c4f22bb-20240704185610566.jpg " width = " 200 " /> |
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+ | 印章检测与识别 | 端到端弯曲文本识别 | [ 模型下载] ( #_7 ) | [ 中文] ( ./印章弯曲文字识别.md ) /English | <img src =" ./images/498119182f0a414ab86ae2de752fa31c9ddc3a74a76847049cc57884602cb269.png " width = " 150 " /> |
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+ | 通用卡证识别 | 通用结构化提取 | [ 模型下载] ( #_7 ) | [ 中文] ( ./快速构建卡证类OCR.md ) /English | <img src =" ./images/981640e17d05487e961162f8576c9e11634ca157f79048d4bd9d3bc21722afe8.jpeg " width = " 300 " /> |
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| 身份证识别 | 结构化提取、图像阴影 | | | |
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- | 合同比对 | 密集文本检测、NLP关键信息抽取 | [ 模型下载] ( #2 ) | [ 中文] ( ./扫描合同关键信息提取.md ) /English | <img src =" ./images/54f3053e6e1b47a39b26e757006fe2c44910d60a3809422ab76c25396b92e69b.png " width = " 300 " /> |
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+ | 合同比对 | 密集文本检测、NLP关键信息抽取 | [ 模型下载] ( #_7 ) | [ 中文] ( ./扫描合同关键信息提取.md ) /English | <img src =" ./images/54f3053e6e1b47a39b26e757006fe2c44910d60a3809422ab76c25396b92e69b.png " width = " 300 " /> |
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### 交通
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| 类别 | 亮点 | 模型下载 | 教程 | 示例图 |
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| ----------------- | ------------------------------ | -------------- | ----------------------------------- | ------------------------------------------------------------ |
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- | 车牌识别 | 多角度图像、轻量模型、端侧部署 | [ 模型下载] ( #2 ) | [ 中文] ( ./轻量级车牌识别.md ) /English | <img src =" ./images/76b6a0939c2c4cf49039b6563c4b28e241e11285d7464e799e81c58c0f7707a7.png " width = " 200 " height = " 100 " /> |
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+ | 车牌识别 | 多角度图像、轻量模型、端侧部署 | [ 模型下载] ( #_7 ) | [ 中文] ( ./轻量级车牌识别.md ) /English | <img src =" ./images/76b6a0939c2c4cf49039b6563c4b28e241e11285d7464e799e81c58c0f7707a7.png " width = " 200 " height = " 100 " /> |
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| 驾驶证/行驶证识别 | 尽请期待 | | | |
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| 快递单识别 | 尽请期待 | | | |
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## 模型下载
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+ 🎁《动手学OCR》、《OCR产业范例20讲》电子书、OCR垂类模型、PDF2Word软件以及其他学习大礼包领取链接:[ 百度网盘 PaddleOCR 开源大礼包] ( https://pan.baidu.com/s/1h__OYbbQ_rASB-m8ZC1bCA ) ,提取码:4232
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如果您是企业开发者且未在上述场景中找到合适的方案,可以填写[ OCR应用合作调研问卷] ( https://paddle.wjx.cn/vj/QwF7GKw.aspx ) ,免费与官方团队展开不同层次的合作,包括但不限于问题抽象、确定技术方案、项目答疑、共同研发等。如果您已经使用PaddleOCR落地项目,也可以填写此问卷,与飞桨平台共同宣传推广,提升企业技术品宣。期待您的提交!
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