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- ---
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- dataset_info:
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- features:
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- - name: image
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- dtype: image
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- - name: text
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- dtype: string
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- - name: style
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- dtype: string
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- splits:
11
- - name: train
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- num_bytes: 12777680156
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- num_examples: 1300000
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- - name: noisy_Bg
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- num_bytes: 564270458
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- num_examples: 100000
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- - name: parabolic_text
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- num_bytes: 964652903
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- num_examples: 100000
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- - name: parabolic_text_blur
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- num_bytes: 1036157860
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- num_examples: 100000
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- - name: parabolic_text_shadow
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- num_bytes: 1164050759
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- num_examples: 100000
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- - name: plain_text
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- num_bytes: 481267597
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- num_examples: 100000
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- - name: plain_text_blur
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- num_bytes: 691000068
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- num_examples: 100000
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- - name: plain_text_complex_bg
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- num_bytes: 3899110442
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- num_examples: 100000
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- - name: plain_text_darkness
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- num_bytes: 347759418
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- num_examples: 100000
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- - name: plain_text_shadow
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- num_bytes: 818234147
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- num_examples: 100000
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- - name: sine_text
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- num_bytes: 325560397
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- num_examples: 100000
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- - name: sine_text_blur
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- num_bytes: 1081370287
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- num_examples: 100000
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- - name: sine_text_darkness
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- num_bytes: 1277542234
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- num_examples: 100000
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- - name: white_noise
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- num_bytes: 471704986
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- num_examples: 100000
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- download_size: 25905171625
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- dataset_size: 25900361712
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- - split: noisy_Bg
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- path: data/noisy_Bg-*
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- - split: parabolic_text
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- path: data/parabolic_text-*
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- - split: parabolic_text_blur
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- path: data/parabolic_text_blur-*
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- - split: parabolic_text_shadow
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- path: data/parabolic_text_shadow-*
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- - split: plain_text
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- path: data/plain_text-*
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- - split: plain_text_blur
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- path: data/plain_text_blur-*
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- - split: plain_text_complex_bg
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- path: data/plain_text_complex_bg-*
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- - split: plain_text_darkness
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- path: data/plain_text_darkness-*
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- - split: plain_text_shadow
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- path: data/plain_text_shadow-*
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- - split: sine_text
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- path: data/sine_text-*
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- - split: sine_text_blur
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- path: data/sine_text_blur-*
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- - split: sine_text_darkness
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- path: data/sine_text_darkness-*
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- - split: white_noise
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- path: data/white_noise-*
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- license: cc-by-4.0
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- task_categories:
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- - image-to-text
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- language:
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- - fa
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- - ar
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- tags:
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- - OCR
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- - optical-character-recognition
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- - text-recognition
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- - image-to-text
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- - persian
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- - farsi
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- - persian-ocr
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- - synthetic
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- - computer-vision
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- - deep-learning
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- - persian-OCR
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- pretty_name: 'Garshasp-70C: Persian Synthetic OCR Dataset'
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- size_categories:
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- - 1M<n<10M
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- ---
108
  # Persian OCR Garshasp: Large-Scale Synthetic Persian OCR Dataset
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110
  **Persian-OCR-Garshasp** is a large-scale **Persian (Farsi) OCR** dataset containing about **2.6M image–text pairs**.
@@ -205,8 +205,6 @@ You can:
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  ### Text
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- - **Text source**: TODO – briefly describe where the Persian text comes from
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- (e.g. news articles, web crawl, books, internal corpus, etc.).
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  - **Text length**:
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  - Each sample contains at most **70 characters**.
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  - **Preprocessing** (recommended, if applicable):
@@ -367,25 +365,6 @@ Not recommended for:
367
 
368
  ---
369
 
370
- ## Limitations
371
-
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- * The dataset is **synthetic**, so models trained only on this data might not fully capture:
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-
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- * camera motion blur,
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- * lens distortion and compression artifacts,
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- * handwriting and highly stylized typography.
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- * Text distribution follows the underlying corpus (e.g. news / web / etc., depending on your source)
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- and may not be representative of all domains of Persian (e.g. social media, poetry, dialects).
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- * The text may contain:
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-
381
- * named entities (persons, locations, organizations),
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- * politically or socially sensitive content inherited from the source corpus,
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- * occasional noise or typos.
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-
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- Users should consider fine-tuning on **real-world Persian OCR datasets** for production use.
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-
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- ---
388
-
389
  ## License
390
 
391
  This dataset is released under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license.
@@ -411,11 +390,11 @@ https://creativecommons.org/licenses/by/4.0/
411
  If you use **Persian OCR Garshasp** in your research or product, please cite:
412
 
413
  ```bibtex
414
- @dataset{persian_ocr_garshasp,
415
  title = {Persian OCR Garshasp: Large-Scale Synthetic OCR Dataset for Persian (Farsi)},
416
- author = {Shafiee, Ali and collaborators},
417
  year = {2025},
418
- howpublished = {\url{https://huggingface.co/datasets/AliShafiee2003/persian-ocr-garshasp}},
419
  note = {Version 1.0},
420
  }
421
  ```
@@ -424,13 +403,6 @@ If you use **Persian OCR Garshasp** in your research or product, please cite:
424
 
425
  ---
426
 
427
- ## Acknowledgements
428
-
429
- * TODO: Acknowledge collaborators, institutions, or organizations that helped build this dataset.
430
- * TODO: Acknowledge any upstream corpora or datasets used as text sources.
431
-
432
- ---
433
-
434
  ## خلاصه فارسی
435
 
436
  **Persian-OCR-Garshasp** یک دیتاست بزرگ برای **OCR فارسی** است که حدود **۲.۶ میلیون** جفت تصویر–متن دارد.
@@ -445,11 +417,7 @@ If you use **Persian OCR Garshasp** in your research or product, please cite:
445
  مدل‌های تشخیص متن فارسی، و همین‌طور پیش‌آموزش مدل‌ها قبل از فاین‌تیون روی دیتای واقعی استفاده کرد.
446
 
447
 
448
- این دیتاست تحت لایسنس **CC BY 4.0** منتشر شده است. یعنی:
449
-
450
- - هر کسی می‌تواند دیتاست را برای **هر نوع استفاده‌ای (حتی تجاری)** دانلود و استفاده کند.
451
- - می‌تواند آن را تغییر دهد، با دیتاست‌های دیگر ترکیب کند و در پروژه‌ها / محصولات خود به کار ببرد.
452
- - تنها شرط این است که به **سازندهٔ دیتاست (مثلاً لینک به صفحهٔ Hugging Face و نام شما)** به‌طور معقول اشاره شود.
453
 
454
  ---
455
 
@@ -459,6 +427,3 @@ persian ocr, farsi ocr, persian text recognition, farsi text recognition, persia
459
  arabic script ocr, persian dataset, farsi dataset, synthetic ocr dataset, image to text, scene text recognition,
460
  document text recognition, persian news text, persian image text pairs, 48x640 images, noisy text images, sine text,
461
  parabolic text, white noise, shadow, blur, dark images, complex background, persian computer vision, persian deep learning
462
-
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-
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- [1]: https://huggingface.co/datasets/AliShafiee2003/persian-ocr-garshasp "AliShafiee2003/persian-ocr-garshasp · Datasets at Hugging Face"
 
1
+ ---
2
+ dataset_info:
3
+ features:
4
+ - name: image
5
+ dtype: image
6
+ - name: text
7
+ dtype: string
8
+ - name: style
9
+ dtype: string
10
+ splits:
11
+ - name: train
12
+ num_bytes: 12777680156
13
+ num_examples: 1300000
14
+ - name: noisy_Bg
15
+ num_bytes: 564270458
16
+ num_examples: 100000
17
+ - name: parabolic_text
18
+ num_bytes: 964652903
19
+ num_examples: 100000
20
+ - name: parabolic_text_blur
21
+ num_bytes: 1036157860
22
+ num_examples: 100000
23
+ - name: parabolic_text_shadow
24
+ num_bytes: 1164050759
25
+ num_examples: 100000
26
+ - name: plain_text
27
+ num_bytes: 481267597
28
+ num_examples: 100000
29
+ - name: plain_text_blur
30
+ num_bytes: 691000068
31
+ num_examples: 100000
32
+ - name: plain_text_complex_bg
33
+ num_bytes: 3899110442
34
+ num_examples: 100000
35
+ - name: plain_text_darkness
36
+ num_bytes: 347759418
37
+ num_examples: 100000
38
+ - name: plain_text_shadow
39
+ num_bytes: 818234147
40
+ num_examples: 100000
41
+ - name: sine_text
42
+ num_bytes: 325560397
43
+ num_examples: 100000
44
+ - name: sine_text_blur
45
+ num_bytes: 1081370287
46
+ num_examples: 100000
47
+ - name: sine_text_darkness
48
+ num_bytes: 1277542234
49
+ num_examples: 100000
50
+ - name: white_noise
51
+ num_bytes: 471704986
52
+ num_examples: 100000
53
+ download_size: 25905171625
54
+ dataset_size: 25900361712
55
+ configs:
56
+ - config_name: default
57
+ data_files:
58
+ - split: train
59
+ path: data/train-*
60
+ - split: noisy_Bg
61
+ path: data/noisy_Bg-*
62
+ - split: parabolic_text
63
+ path: data/parabolic_text-*
64
+ - split: parabolic_text_blur
65
+ path: data/parabolic_text_blur-*
66
+ - split: parabolic_text_shadow
67
+ path: data/parabolic_text_shadow-*
68
+ - split: plain_text
69
+ path: data/plain_text-*
70
+ - split: plain_text_blur
71
+ path: data/plain_text_blur-*
72
+ - split: plain_text_complex_bg
73
+ path: data/plain_text_complex_bg-*
74
+ - split: plain_text_darkness
75
+ path: data/plain_text_darkness-*
76
+ - split: plain_text_shadow
77
+ path: data/plain_text_shadow-*
78
+ - split: sine_text
79
+ path: data/sine_text-*
80
+ - split: sine_text_blur
81
+ path: data/sine_text_blur-*
82
+ - split: sine_text_darkness
83
+ path: data/sine_text_darkness-*
84
+ - split: white_noise
85
+ path: data/white_noise-*
86
+ license: cc-by-4.0
87
+ task_categories:
88
+ - image-to-text
89
+ language:
90
+ - fa
91
+ - ar
92
+ tags:
93
+ - OCR
94
+ - optical-character-recognition
95
+ - text-recognition
96
+ - image-to-text
97
+ - persian
98
+ - farsi
99
+ - persian-ocr
100
+ - synthetic
101
+ - computer-vision
102
+ - deep-learning
103
+ - persian-OCR
104
+ pretty_name: 'Garshasp-70C: Persian Synthetic OCR Dataset'
105
+ size_categories:
106
+ - 1M<n<10M
107
+ ---
108
  # Persian OCR Garshasp: Large-Scale Synthetic Persian OCR Dataset
109
 
110
  **Persian-OCR-Garshasp** is a large-scale **Persian (Farsi) OCR** dataset containing about **2.6M image–text pairs**.
 
205
 
206
  ### Text
207
 
 
 
208
  - **Text length**:
209
  - Each sample contains at most **70 characters**.
210
  - **Preprocessing** (recommended, if applicable):
 
365
 
366
  ---
367
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
368
  ## License
369
 
370
  This dataset is released under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license.
 
390
  If you use **Persian OCR Garshasp** in your research or product, please cite:
391
 
392
  ```bibtex
393
+ @misc{persian_ocr_garshasp,
394
  title = {Persian OCR Garshasp: Large-Scale Synthetic OCR Dataset for Persian (Farsi)},
395
+ author = {Shafiee, Ali},
396
  year = {2025},
397
+ howpublished = {\url{https://huggingface.co/datasets/AliShafiee2003/persian-ocr-garshasp-70c}},
398
  note = {Version 1.0},
399
  }
400
  ```
 
403
 
404
  ---
405
 
 
 
 
 
 
 
 
406
  ## خلاصه فارسی
407
 
408
  **Persian-OCR-Garshasp** یک دیتاست بزرگ برای **OCR فارسی** است که حدود **۲.۶ میلیون** جفت تصویر–متن دارد.
 
417
  مدل‌های تشخیص متن فارسی، و همین‌طور پیش‌آموزش مدل‌ها قبل از فاین‌تیون روی دیتای واقعی استفاده کرد.
418
 
419
 
420
+ این دیتاست تحت لایسنس **CC BY 4.0** منتشر شده است. یعنی.
 
 
 
 
421
 
422
  ---
423
 
 
427
  arabic script ocr, persian dataset, farsi dataset, synthetic ocr dataset, image to text, scene text recognition,
428
  document text recognition, persian news text, persian image text pairs, 48x640 images, noisy text images, sine text,
429
  parabolic text, white noise, shadow, blur, dark images, complex background, persian computer vision, persian deep learning