CT-OCR-2022 (scroll003)
收藏资源简介：
<p><strong>CT-OCR-2022 dataset</strong></p> <p>CT-OCR-2022 dataset contains optically scanned images for source&nbsp;paper document, 400 X-ray projections, 2687 CT-reconstructed cross-sections and&nbsp; segmentation markups for 6 model objects.</p> <p>Description of the data for each model object is presented in the table.</p> <table><br> <thead><br> <tr><br> <th scope="col">Files</th><br> <th scope="col">Data description</th><br> </tr><br> </thead><br> <tbody><br> <tr><br> <td>[package].proj_src/proj_s_.log</td><br> <td>X-ray measurement log file</td><br> </tr><br> <tr><br> <td>[package].proj_src/*.tif</td><br> <td>preprocessed projections before rotation axe correction</td><br> </tr><br> <tr><br> <td>[package].proj_norm/proj_s_.log</td><br> <td>X-ray measurement and geometry correction log file</td><br> </tr><br> <tr><br> <td>[package].proj_norm/*.tif</td><br> <td>preprocessed projections after rotation axe correction</td><br> </tr><br> <tr><br> <td>[package].rec_XXXX/metadata.json</td><br> <td>reconstruction metadata</td><br> </tr><br> <tr><br> <td>[package].rec_XXXX/*.tif</td><br> <td>CT-reconstructed volume, slices with size XXXX&times;XXXX</td><br> </tr><br> <tr><br> <td>[package].seg_XXXX/*.tif.seg.png</td><br> <td>segmentation markup</td><br> </tr><br> <tr><br> <td>[package].blank.png</td><br> <td>sample croped from pdf</td><br> </tr><br> <tr><br> <td>[package].scan.png</td><br> <td>sample croped from scanned image</td><br> </tr><br> </tbody><br> </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>
