Published June 7, 2024
| Version 1.0
Dataset
Open
Muharaf-public
Description
Manuscripts of Handwritten Arabic dataset (Muharaf) for cursive text recognition. The following files are present in this repositoriy:
- public_data_files.zip: Contains the public part of Muharaf dataset. It has the images and the corresponding annotation files in JSON and XML format.
- public_line_images.zip: Contains the line images and their corresponding transcriptions.
- public_summary_and_keywords.zip: Contains the summary and keywords extracted from the ground truth transcriptions of each image.
- sfr_files.zip: Contains the preprocessed files for the start_follow_read_arabic system for training the public part of Muharaf dataset.
- public_1100_untrained.zip: Contains an initiailized trial folder with 3 different random splits of (train, validation, test) to reproduce the experiments reported in the paper on Muharaf-public.
- public_1100_trained.zip: Contains the results and models weights after training on Muharaf-public. It has results of three different random splits of (train, validation, test) sets.
- trial_15_untrained.zip: Contains an intialized trial folder with 3 different random splits of (train, validation, test) to reproduce the experiments reported in the paper on training all the files of Muharaf dataset (1500 training images).
- trial_15.zip: Contains the results and model weights after training on Muharaf. It has results of three different random splits of (train, validation, test) sets.
Files
public_1100_trained.zip
Files
(10.6 GB)
Name | Size | Download all |
---|---|---|
md5:923f1f87e924da6694c6b145ca44011f
|
742.3 MB | Preview Download |
md5:6b54aeada83897392038f31cd15a45ce
|
96.5 kB | Preview Download |
md5:27322f0d2424a99a83ce69fdd2abba90
|
3.1 GB | Preview Download |
md5:cd697cded99887b89a83620e83cd9a32
|
1.3 GB | Preview Download |
md5:d899652881c25cdcced00a16dd0b40e7
|
791.5 kB | Preview Download |
md5:c1386676775c33318a6517978eca8c16
|
4.6 GB | Preview Download |
md5:1fdcd7a5a5fd3f258e16e27061dccd24
|
739.3 MB | Preview Download |
md5:f7bff5ca281385a57e4d4b3ff8dc2317
|
76.0 kB | Preview Download |