Published October 8, 2022
| Version 0.0.0
Dataset
Open
CT-OCR-2022 (scroll004)
Authors/Creators
- 1. Smart Engines Service LLC, Moscow, Russia
Description
CT-OCR-2022 dataset
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 |
|---|---|
| [package].proj_src/proj_s_.log | X-ray measurement log file |
| [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.
Any questions, complaints, etc. can be directed to: polevoy@smartengines.com (Dmitry Polevoy)
The article about this dataset is currently under review. When the article is published, the full reference will be added.
Files
scroll004.blank.png
Files
(48.5 GB)
| Name | Size | |
|---|---|---|
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md5:828a84283a271bb631bbe2b027844e50
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9.0 kB | Preview Download |
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md5:57e16f287d51bd788e199f21b709dbb3
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4.3 GB | Download |
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md5:885ff25108a92e35338035b0925912c0
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4.3 GB | Download |
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md5:4c5c3b2c53ddbc91d0afab8d3e2a81f0
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121.2 MB | Download |
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md5:15bea2889790d990af83416eb5c45e7c
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4.3 GB | Download |
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md5:2aa41be4658ed45def36f5084f49d297
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2.0 GB | Download |
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md5:de70c8cc58ed44d5455e3bca0b0eec34
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4.3 GB | Download |
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md5:3faff5e5f357b80b45f20126769c6180
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4.3 GB | Download |
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md5:22954fb084981af48ba87c5cf2f784fa
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4.3 GB | Download |
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md5:cafcfd6b22e9b5ad9c12ebbb7f9fe9a7
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4.3 GB | Download |
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md5:3494b38db3c591e0fc927ebfa1a25626
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4.3 GB | Download |
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md5:1ddbea059db957475ab26249d3b12afb
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4.3 GB | Download |
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md5:0ddcdc8df412cbf8a2df3ea953a02409
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4.3 GB | Download |
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md5:7d4c8756d641cda75ef7fe1d26f3ac2b
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3.3 GB | Download |
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md5:4032ea465678451e64c97ce14df074a8
|
599.3 kB | Preview Download |
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md5:79f4872cfd088e9b29273d4a9cbe3536
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88.0 MB | Download |
Additional details
Related works
- Continues
- Dataset: 10.5281/zenodo.7123495 (DOI)