CT-OCR-2022 (scroll001)

<strong>CT-OCR-2022 dataset</strong> 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. Description of the data for each model object is presented in the table. Files Data description 2022-ICMV-CT-OCR.[package].png sample projection and slice visualization [package].proj_src/proj_s_.log X-ray measurement log file [package].proj_src/*.tif preprocessed projections before rotation axe correction 2022-ICMV-CT-OCR.[package].png package single projection and slice vizualization [package].proj_src/*.tif preprocessed projections before rotation axe correction [package].proj_norm/proj_s_.log X-ray measurement and geometry correction log file [package].proj_norm/*.tif preprocessed projections after rotation axe correction [package].rec_XXXX/metadata.json reconstruction metadata [package].rec_XXXX/*.tif CT-reconstructed volume, slices with size XXXX×XXXX [package].seg_XXXX/*.tif.seg.png segmentation markup [package].blank.png sample croped from pdf [package].scan.png sample croped from scanned image Due to the large amount of data, folders were packed into multi-volume zip-archives. Dataset published in Zenodo service in several linked repositories. scroll01 - 10.5281/zenodo.7123495<br> scroll02 - 10.5281/zenodo.7157600<br> scroll03 - 10.5281/zenodo.7157610<br> scroll04 - 10.5281/zenodo.7161350<br> folded01 - 10.5281/zenodo.7162001, 10.5281/zenodo.7164152<br> folded02 - 10.5281/zenodo.7267141, 10.5281/zenodo.7272064 Any questions, complaints, etc. can be directed to: [e-mail] (Dmitry Polevoy) The article about this dataset is currently under review. When the article is published, the full reference will be added.