image_bytes
imagewidth (px) 11
2.02k
| image_name
stringlengths 1
9
| image_width
int64 11
2.02k
| image_height
int64 9
1.37k
| full_text
stringlengths 1
15
|
---|---|---|---|---|
word_0 | 1,367 | 1,061 | الجراج |
|
word_1 | 1,359 | 1,061 | خاص |
|
word_10 | 385 | 174 | عمارات |
|
word_100 | 215 | 96 | كايرو |
|
word_1000 | 283 | 106 | الأهلى |
|
word_1001 | 318 | 80 | المصرى |
|
word_1002 | 389 | 85 | هيوصل |
|
word_1004 | 343 | 93 | تبرعك |
|
word_1005 | 280 | 101 | محتاج |
|
word_1006 | 213 | 80 | مصر |
|
word_1007 | 289 | 115 | تبرعك |
|
word_1008 | 355 | 111 | هيوصل |
|
word_1009 | 158 | 47 | مقدمة |
|
word_101 | 631 | 295 | إلحقي |
|
word_1010 | 116 | 58 | الأهلى |
|
word_1015 | 138 | 84 | اكثر |
|
word_1016 | 142 | 62 | بطاقة |
|
word_1018 | 181 | 61 | المصري |
|
word_102 | 949 | 365 | بـ800جـ |
|
word_1020 | 192 | 84 | لكل |
|
word_1021 | 279 | 96 | محتاج |
|
word_1023 | 304 | 79 | مصر |
|
word_1025 | 263 | 85 | البنك |
|
word_1026 | 297 | 102 | الأهلى |
|
word_1027 | 338 | 88 | المصرى |
|
word_1028 | 123 | 55 | البنك |
|
word_1029 | 137 | 79 | اكثر |
|
word_103 | 1,102 | 343 | إكسبي |
|
word_1030 | 115 | 62 | الأهلى |
|
word_1031 | 222 | 94 | تشترى |
|
word_1033 | 301 | 242 | خطوط |
|
word_1034 | 306 | 270 | لتوريد |
|
word_1036 | 251 | 223 | جميع |
|
word_1037 | 374 | 258 | جميع |
|
word_1038 | 498 | 308 | البلاستيك |
|
word_1039 | 672 | 450 | الجبر.. |
|
word_104 | 335 | 144 | 800جـ |
|
word_1040 | 379 | 292 | إنتاج |
|
word_1041 | 455 | 299 | الأوسط |
|
word_1042 | 1,036 | 637 | متواجدون |
|
word_1043 | 214 | 203 | دول |
|
word_1044 | 422 | 336 | الشرق |
|
word_1045 | 466 | 434 | للإستثمار |
|
word_1046 | 329 | 517 | العقارى |
|
word_1047 | 396 | 486 | والمقاولات |
|
word_1048 | 202 | 78 | الكهربائية |
|
word_105 | 389 | 219 | بقيمة |
|
word_1050 | 44 | 22 | تناسب |
|
word_1051 | 45 | 23 | أنظمة |
|
word_1052 | 216 | 98 | جمعة |
|
word_1053 | 150 | 92 | يوم |
|
word_1054 | 291 | 160 | أنتظروا |
|
word_1055 | 244 | 115 | مفاجاة |
|
word_1056 | 54 | 29 | واسأل |
|
word_1057 | 51 | 21 | الصيف |
|
word_1058 | 46 | 23 | عروض |
|
word_106 | 612 | 274 | مشتريات |
|
word_1060 | 49 | 27 | الجميع |
|
word_1061 | 169 | 75 | للأجهزة |
|
word_1062 | 578 | 246 | المصريين |
|
word_1063 | 39 | 20 | سداد |
|
word_1064 | 95 | 37 | السمكية |
|
word_1065 | 70 | 39 | غليون |
|
word_1066 | 62 | 39 | بركة |
|
word_1067 | 79 | 35 | مزرعة |
|
word_1068 | 71 | 43 | البرلس |
|
word_1069 | 58 | 23 | سعيد |
|
word_1070 | 41 | 24 | بور |
|
word_1071 | 41 | 28 | برج |
|
word_1072 | 244 | 161 | العربي |
|
word_1073 | 391 | 277 | جيت |
|
word_1074 | 201 | 148 | الأتحاد |
|
word_1075 | 185 | 169 | للنقل |
|
word_1076 | 162 | 174 | شركة |
|
word_1077 | 269 | 196 | البري |
|
word_1079 | 379 | 187 | سوبر |
|
word_108 | 326 | 224 | علي |
|
word_1080 | 401 | 223 | السياحة |
|
word_1081 | 93 | 61 | نادي |
|
word_1082 | 68 | 44 | ريو |
|
word_1083 | 190 | 101 | الشمالى |
|
word_1084 | 157 | 100 | الساحل |
|
word_1085 | 135 | 87 | رشيد |
|
word_1086 | 185 | 56 | الاسكندرية |
|
word_1087 | 119 | 54 | الساحلى |
|
word_1088 | 146 | 52 | ط.الدولى |
|
word_1089 | 87 | 49 | القمر |
|
word_109 | 1,538 | 411 | منتجات+شنطة |
|
word_1090 | 83 | 52 | وادى |
|
word_1091 | 107 | 52 | الدولى |
|
word_1095 | 151 | 55 | إسكندرية |
|
word_1096 | 130 | 51 | الساحلى |
|
word_1097 | 164 | 78 | الطريق |
|
word_1098 | 145 | 78 | مطار |
|
word_1099 | 196 | 82 | الشمالى |
|
word_11 | 385 | 141 | الاستاد |
|
word_110 | 492 | 251 | فبراير |
|
word_1100 | 180 | 74 | القاهرة |
|
word_1101 | 94 | 52 | برج |
|
word_1103 | 225 | 79 | الصحراوى |
EvArEST
Everyday Arabic-English Scene Text dataset, from the paper: Arabic Scene Text Recognition in the Deep Learning Era: Analysis on A Novel Dataset
The dataset includes both the recognition dataset and the synthetic one in a single train and test split.
Recognition Dataset
The text recognition dataset comprises of 7232 cropped word images of both Arabic and English languages. The groundtruth for the recognition dataset is provided by a text file with each line containing the image file name and the text in the image. The dataset could be used for Arabic text recognition only and could be used for bilingual text recognition.
Training Data:
Test Data:
Synthetic Data
About 200k synthetic images with segmentation maps.
Code for Synthetic Data Generation:
https://github.com/HGamal11/Arabic_Synthetic_Data_Generator
Citation
If you find this dataset useful for your research, please cite
@article{hassan2021arabic,
title={Arabic Scene Text Recognition in the Deep Learning Era: Analysis on A Novel Dataset},
author={Hassan, Heba and El-Mahdy, Ahmed and Hussein, Mohamed E},
journal={IEEE Access},
year={2021},
publisher={IEEE}
}
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