| | --- |
| | dataset_info: |
| | features: |
| | - name: text |
| | dtype: string |
| | - name: image |
| | dtype: image |
| | - name: difficulty |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 4410348228.488 |
| | num_examples: 403744 |
| | - name: valid |
| | num_bytes: 561605435.133 |
| | num_examples: 52091 |
| | - name: test |
| | num_bytes: 626949323.1 |
| | num_examples: 59565 |
| | download_size: 5528589124 |
| | dataset_size: 5598902986.721001 |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: train |
| | path: data/train-* |
| | - split: valid |
| | path: data/valid-* |
| | - split: test |
| | path: data/test-* |
| | --- |
| | # Original |
| |
|
| | ## Brno Mobile OCR Dataset |
| |
|
| | Brno Mobile OCR Dataset (B-MOD) is a collection of 2 113 templates (pages of scientific papers). Those templates were captured using 23 various mobile devices under unrestricted conditions ensuring that the obtained photographs contain various amount of blurriness, illumination etc. In total, the dataset contains 19 725 photographs and more than 500k text lines with precise transcriptions. The template pages are divided into three subsets (training, validation and testing). |
| |
|
| | This dataset may be used for non-commercial research purpose only. If you publish material based on this dataset, we request you to include a reference to the paper: |
| |
|
| | [Kišš, M., Hradiš, M. and Kodym, O. Brno Mobile OCR Dataset. In: 2019 International Conference on Document Analysis and Recognition (ICDAR). September 2019, p. 1352–1357. ISSN: 1520-5363.](https://pero.fit.vutbr.cz/publications) |
| |
|
| | You can download the dataset and evaluate your OCR system below. Our OCR system is available on the github. If you have any question, please contact ikiss@fit.vutbr.cz or ihradis@fit.vutbr.cz. |
| |
|
| | # Note |
| | This dataset is without test set as it has no labels. If you consider submitting to the leaderboard download the data from the original source: https://zenodo.org/records/15310982 |
