CT-OCR-2022 (scroll003)
Authors/Creators
- 1. Smart Engines Service LLC, Moscow, Russia
Description
<p><strong>CT-OCR-2022 dataset</strong></p>
<p>CT-OCR-2022 dataset contains optically scanned images for source paper document, 400 X-ray projections, 2687 CT-reconstructed cross-sections and segmentation markups for 6 model objects.</p>
<p>Description of the data for each model object is presented in the table.</p>
<table>
<thead>
<tr>
<th scope="col">Files</th>
<th scope="col">Data description</th>
</tr>
</thead>
<tbody>
<tr>
<td>[package].proj_src/proj_s_.log</td>
<td>X-ray measurement log file</td>
</tr>
<tr>
<td>[package].proj_src/*.tif</td>
<td>preprocessed projections before rotation axe correction</td>
</tr>
<tr>
<td>[package].proj_norm/proj_s_.log</td>
<td>X-ray measurement and geometry correction log file</td>
</tr>
<tr>
<td>[package].proj_norm/*.tif</td>
<td>preprocessed projections after rotation axe correction</td>
</tr>
<tr>
<td>[package].rec_XXXX/metadata.json</td>
<td>reconstruction metadata</td>
</tr>
<tr>
<td>[package].rec_XXXX/*.tif</td>
<td>CT-reconstructed volume, slices with size XXXX×XXXX</td>
</tr>
<tr>
<td>[package].seg_XXXX/*.tif.seg.png</td>
<td>segmentation markup</td>
</tr>
<tr>
<td>[package].blank.png</td>
<td>sample croped from pdf</td>
</tr>
<tr>
<td>[package].scan.png</td>
<td>sample croped from scanned image</td>
</tr>
</tbody>
</table>
<p>Due to the large amount of data, folders were packed into multi-volume zip-archives. Dataset published in Zenodo service in several linked repositories.</p>
<p>Any questions, complaints, etc. can be directed to: polevoy@smartengines.com (Dmitry Polevoy)</p>
<p>The article about this dataset is currently under review. When the article is published, the full reference will be added.</p>
Files
license.txt
Files
(46.3 GB)
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md5:5f5b0f281520e050c425aca82c53d1cc
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4.3 GB | Download |
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4.3 GB | Download |
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4.3 GB | Download |
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md5:f60bc878b93a802a3d5b8f6c7427e625
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4.3 GB | Download |
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md5:0ba87174b4079268f4eef8d1dd1aaefc
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4.3 GB | Download |
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md5:a3d3593592c2bd65dc4a9bfaca408a02
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1.1 GB | Download |
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md5:2c8ecbbfdfc05bb802b4ec98717b86fb
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595.9 kB | Preview Download |
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md5:386170adb73a6bfdcce17eb8de96d2a1
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89.0 MB | Download |
Additional details
Related works
- Continues
- Dataset: 10.5281/zenodo.7123495 (DOI)