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https://github.com/WenmuZhou/OCR_DataSet
收集并整理有关OCR的数据集并统一标注格式，以便实验需要
https://github.com/WenmuZhou/OCR_DataSet
Last synced: 5 days ago
JSON representation
收集并整理有关OCR的数据集并统一标注格式，以便实验需要
- Host: GitHub
- URL: https://github.com/WenmuZhou/OCR_DataSet
- Owner: WenmuZhou
- Created: 2020-03-18T02:17:45.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2023-11-28T09:17:38.000Z (7 months ago)
- Last Synced: 2024-03-05T07:33:52.212Z (4 months ago)
- Language: Python
- Homepage:
- Size: 8.99 MB
- Stars: 806
- Watchers: 17
- Forks: 182
- Open Issues: 13
-
Metadata Files:
- Readme: README.md
Lists
- awesome-ai-list-guide - OCR_DataSet
README
# Todo
- [x] 提供数据集百度云链接
- [x] 数据集转换为统一格式(检测和识别)
- [x] icdar2015
- [x] MLT2019
- [x] COCO-Text_v2
- [x] ReCTS
- [x] SROIE
- [x] ArT
- [x] LSVT
- [x] Synth800k
- [x] icdar2017rctw
- [x] MTWI 2018
- [x] 百度中文场景文字识别
- [x] mjsynth
- [x] Synthetic Chinese String Dataset(360万中文数据集)
- [x] 英文识别数据大礼包
- [x] 提供读取脚本
# 下载
下载数据集之后，记得修改标注文件里对应的路径为自己的路径
通过百度网盘分享的文件：所有数据集一起压…
链接:https://pan.baidu.com/s/1TkTWql2XxqPLDnFmVvHsUA?pwd=4358
提取码:4358
复制这段内容打开「百度网盘APP 即可获取」
# 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_v2 | https://bgshih.github.io/cocotext/ | 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](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(360万中文数据集) | 链接：https://pan.baidu.com/s/1jefn4Jh4jHjQdiWoanjKpQ 提取码：spyi | 识别 | 语言: 混合 300k | - | - |
| 英文识别数据大礼包(https://github.com/clovaai/deep-text-recognition-benchmark) 训练：MJSynth和SynthText 验证：IIIT, SVT, IC03, IC13, IC15, SVTP, CUTE | 链接：https://pan.baidu.com/s/1KSNLv4EY3zFWHpBYlpFCBQ 提取码：rryk | 识别 | 语言: 英文 | - | - |
# 数据生成工具
https://github.com/TianzhongSong/awesome-SynthText
# 数据集读取脚本
- [检测读取脚本](dataset/det.py)
- [识别读取脚本](dataset/rec.py)