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添加 一些数据集
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# 数据集

| 数据集 | 主页 | 适用情况 | 数据情况 | 标注形式 | 说明 |
| --------------------------------- | ------------------------------------------------------------ | --------- | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |
| ICDAR2015 | https://rrc.cvc.uab.es/?ch=4 | 检测&识别 | 语言: 英文 train:1,000 test:500 | x1, y1, x2, y2, x3, y3, x4, y4, transcription | 坐标: x1, y1, x2, y2, x3, y3, x4, y4 transcription : 框内的文字信息 |
| MLT2019 | https://rrc.cvc.uab.es/?ch=15 | 检测&识别 | 语言: 混合 train:10,000 test:10,000 | x1,y1,x2,y2,x3,y3,x4,y4,script,transcription | 坐标: x1, y1, x2, y2, x3, y3, x4, y4 script: 文字所属语言 transcription : 框内的文字信息 |
| COCO-Text | https://rrc.cvc.uab.es/?ch=5 | 检测&识别 | 语言: 混合 train:43,686 validation:10,000 test:10,000 | json | |
| ReCTS | https://rrc.cvc.uab.es/?ch=12&com=introduction | 检测&识别 | 语言: 混合 train:20,000 test:5,000 | { “chars”: [ {“points”: [x1,y1,x2,y2,x3,y3,x4,y4], “transcription” : “trans1”, "ignore":0 }, {“points”: [x1,y1,x2,y2,x3,y3,x4,y4], “transcription” : “trans2”, " ignore ":0 }], “lines”: [ {“points”: [x1,y1,x2,y2,x3,y3,x4,y4] , “transcription” : “trans3”, "ignore ":0 }], } | points: x1,y1,x2,y2,x3,y3,x4,y4 chars: 字符级别的标注 lines: 行级别的标注. transcription : 框内的文字信息 ignore: 0:不忽略，1:忽略 |
| SROIE | https://rrc.cvc.uab.es/?ch=13 | 检测&识别 | 语言: 英文 train:699 test:400 | x1, y1, x2, y2, x3, y3, x4, y4, transcription | 坐标: x1, y1, x2, y2, x3, y3, x4, y4 transcription : 框内的文字信息 |
| ArT | https://rrc.cvc.uab.es/?ch=14 | 检测&识别 | 语言: 混合 train: 5,603 test: 4,563 | { “gt_1”: [ {“points”: [[x1, y1], [x2, y2], …, [xn, yn]], “transcription” : “trans1”, “language” : “Latin”, "illegibility": false }, {“points”: [[x1, y1], [x2, y2], …, [xn, yn]], “transcription” : “trans2”, “language” : “Chinese”, "illegibility": false }], } | points: x1,y1,x2,y2,x3,y3,x4,y4…xn,yn transcription : 框内的文字信息 language: 语言信息 illegibility: 是否模糊 |
| LSVT | https://rrc.cvc.uab.es/?ch=16 | 检测&识别 | 语言: 混合 全标注 train: 30,000 test: 20,000 只标注文本 400,000 | { “gt_1”: [ {“points”: [[x1, y1], [x2, y2], …, [xn, yn]], “transcription” : “trans1”, "illegibility": false }, {“points”: [[x1, y1], [x2, y2], …, [xn, yn]], “transcription” : “trans2”, "illegibility": false }], } | points: x1,y1,x2,y2,x3,y3,x4,y4…xn,yn transcription : 框内的文字信息 illegibility: 是否模糊 |
| Synth800k | http://www.robots.ox.ac.uk/~vgg/data/scenetext/ | 检测&识别 | 语言: 英文 800,000 | imnames: wordBB: charBB: txt: | imnames: 文件名称 wordBB: 2*4*n,每张图像内的文本框 charBB: 2*4*n,每张图像内的字符框 txt: 每张图形内的字符串 |
| mjsynth | http://www.robots.ox.ac.uk/~vgg/data/text/ | 识别 | 语言: 英文 9,000,000 | - | - |
| Synthetic Chinese String Dataset | 链接：https://pan.baidu.com/s/1Js-lK6j2DBXPMLLjaDbchg <br/>提取码：2ect | 识别 | 语言: 混合 300k | | |
| 数据集 | 主页 | 适用情况 | 数据情况 | 标注形式 | 说明 |
| ----------------------------------- | ------------------------------------------------------------ | --------- | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |
| ICDAR2015 | https://rrc.cvc.uab.es/?ch=4 | 检测&识别 | 语言: 英文 train:1,000 test:500 | x1, y1, x2, y2, x3, y3, x4, y4, transcription | 坐标: x1, y1, x2, y2, x3, y3, x4, y4 transcription : 框内的文字信息 |
| MLT2019 | https://rrc.cvc.uab.es/?ch=15 | 检测&识别 | 语言: 混合 train:10,000 test:10,000 | x1,y1,x2,y2,x3,y3,x4,y4,script,transcription | 坐标: x1, y1, x2, y2, x3, y3, x4, y4 script: 文字所属语言 transcription : 框内的文字信息 |
| COCO-Text | https://rrc.cvc.uab.es/?ch=5 | 检测&识别 | 语言: 混合 train:43,686 validation:10,000 test:10,000 | json | |
| ReCTS | https://rrc.cvc.uab.es/?ch=12&com=introduction | 检测&识别 | 语言: 混合 train:20,000 test:5,000 | { “chars”: [ {“points”: [x1,y1,x2,y2,x3,y3,x4,y4], “transcription” : “trans1”, "ignore":0 }, {“points”: [x1,y1,x2,y2,x3,y3,x4,y4], “transcription” : “trans2”, " ignore ":0 }], “lines”: [ {“points”: [x1,y1,x2,y2,x3,y3,x4,y4] , “transcription” : “trans3”, "ignore ":0 }], } | points: x1,y1,x2,y2,x3,y3,x4,y4 chars: 字符级别的标注 lines: 行级别的标注. transcription : 框内的文字信息 ignore: 0:不忽略，1:忽略 |
| SROIE | https://rrc.cvc.uab.es/?ch=13 | 检测&识别 | 语言: 英文 train:699 test:400 | x1, y1, x2, y2, x3, y3, x4, y4, transcription | 坐标: x1, y1, x2, y2, x3, y3, x4, y4 transcription : 框内的文字信息 |
| ArT(已包含Total-Text和SCUT-CTW1500) | https://rrc.cvc.uab.es/?ch=14 | 检测&识别 | 语言: 混合 train: 5,603 test: 4,563 | { “gt_1”: [ {“points”: [[x1, y1], [x2, y2], …, [xn, yn]], “transcription” : “trans1”, “language” : “Latin”, "illegibility": false }, {“points”: [[x1, y1], [x2, y2], …, [xn, yn]], “transcription” : “trans2”, “language” : “Chinese”, "illegibility": false }], } | points: x1,y1,x2,y2,x3,y3,x4,y4…xn,yn transcription : 框内的文字信息 language: 语言信息 illegibility: 是否模糊 |
| LSVT | https://rrc.cvc.uab.es/?ch=16 | 检测&识别 | 语言: 混合 全标注 train: 30,000 test: 20,000 只标注文本 400,000 | { “gt_1”: [ {“points”: [[x1, y1], [x2, y2], …, [xn, yn]], “transcription” : “trans1”, "illegibility": false }, {“points”: [[x1, y1], [x2, y2], …, [xn, yn]], “transcription” : “trans2”, "illegibility": false }], } | points: x1,y1,x2,y2,x3,y3,x4,y4…xn,yn transcription : 框内的文字信息 illegibility: 是否模糊 |
| Synth800k | http://www.robots.ox.ac.uk/~vgg/data/scenetext/ | 检测&识别 | 语言: 英文 800,000 | imnames: wordBB: charBB: txt: | imnames: 文件名称 wordBB: 2*4*n,每张图像内的文本框 charBB: 2*4*n,每张图像内的字符框 txt: 每张图形内的字符串 |
| icdar2017rctw | https://blog.csdn.net/wl1710582732/article/details/89761818 | 检测&识别 | 语言: 混合 train:8,034 test:4,229 | x1,y1,x2,y2,x3,y3,x4,y4,<识别难易程度>,transcription | 坐标: x1, y1, x2, y2, x3, y3, x4, y4 transcription : 框内的文字信息 |
| MTWI 2018 | [识别: https://tianchi.aliyun.com/competition/entrance/231684/introduction 检测: https://tianchi.aliyun.com/competition/entrance/231685/introduction](https://tianchi.aliyun.com/competition/entrance/231684/introduction) | 检测&识别 | 语言: 混合 train:10,000 test:10,000 | x1, y1, x2, y2, x3, y3, x4, y4, transcription | 坐标: x1, y1, x2, y2, x3, y3, x4, y4 transcription : 框内的文字信息 |
| 百度中文场景文字识别 | https://aistudio.baidu.com/aistudio/competition/detail/20 | 识别 | 语言: 混合 train:未统计 test:未统计 | h,w,name,value | h: 图片高度 w: 图片宽度 name: 图片名 value: 图片上文字 |
| mjsynth | http://www.robots.ox.ac.uk/~vgg/data/text/ | 识别 | 语言: 英文 9,000,000 | - | - |
| Synthetic Chinese String Dataset | 链接：https://pan.baidu.com/s/1jefn4Jh4jHjQdiWoanjKpQ 提取码：spyi | 识别 | 语言: 混合 300k | - | - |

# 数据生成工具

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