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140 results for “Truth”
6000 ground truth of VOC and notarial deeds 3.000.000 HTR of VOC, WIC and notarial deeds
<p>The National Archives of the Netherlands and Noord-Hollands Archief conducted a project using the Transkribus HTR (Handwritten Text Recognition) platform. The aim was to semi automatically transcribe 2 million pages of old Dutch texts.</p> <p>The transcribed archives are 17<sup>th</sup> and 18<sup>th</sup> century documents from the Dutch East-India Company (VOC). And 19th century notarial deeds from Noord-Hollands Archief and other archives in the provinces.</p> <p>In order to train the HTR software a team produced transcriptions of approximately 6000 scans. The scans are randomly selected from the dataset. With the transcriptions a model is trained that can recognize more than 90% of the characters correctly. Transkribus transcribed the 2 million scans automatically using the trained model.</p> <p>The following Transkribus HTR+ model has been trained for the text recognition: "IJsberg". More information about the model can be found <a href="https://readcoop.eu/transkribus/public-models/">here</a>. See the chapter "Dutch Handwriting". However, the Transkribus team retrained the model with <a href="https://readcoop.eu/transkribus/howto/how-to-train-pylaia-models-in-transkribus/">PyLaia</a> technology, which improved the HTR+ model. This PyLaia model is not publicly available.</p> <p>Later on, 1 million extra scans concerning the West India Company (WIC) were transcribed automatically without adding extra ground truth or training. These archives are from the 17<sup>th</sup> and 18<sup>th</sup> century.</p> <p>The <a href="https://github.com/knaw-huc/loghi">Loghi Handwritten Text Recognition Toolkit</a> has been added to the arsenal of the Nation Archives of the Netherlands. 1.05.11.14, Notarissen Suriname tot 1828 [digitaal duplicaat] has been processed with this tooling.</p> <p>The datasets published in Zenodo contain the ground truth (scans in JPG, transcription in PAGE XML) and the HTR results (in PAGE XML and TXT). See the overview below. Scroll to the bottom of the page to download the actual files.</p> <p>For more information on how the Dutch National Archive innovate on digital accessibility click <a href="https://www.nationaalarchief.nl/over-het-na/datalab-nationaal-archief">here</a>.</p> <p>For open data access of scans and inventories of the National Archives click <a href="https://www.nationaalarchief.nl/onderzoeken/open-data/open-data-archiefinventarissen-en-scans-van-archieven">here</a>.</p> <p><strong>Disclaimer</strong>: due to a variety of languages used and the bad state of the documents the HTR results of "1.05.21, Dutch series Guyana" can be of poor quality.</p> <p>--------------------------------------------------------------</p> <p><strong>Dataset HTR </strong><br>(Dataset, name archive, number archive, inventory numbers, link to inventory)<br><br><strong>The National Archives of the Netherlands</strong><br>HTR results VOC, VOC, 1.04.02, 7527-9540, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/1.04.02/invnr/%40Deel%20I?query=1.04.02&search-type=inventory">EAD</a><br>HTR results 1.04.02, Oost-Indische Testamenten, 1.04.02, 6847-6897, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/1.04.02/invnr/%40Deel%20I?query=1.04.02&search-type=inventory">EAD</a> <br>HTR results 1.05.01.01, Oude WIC, 1.05.01.01, 1-87, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/1.05.01.01/invnr/%40A..?query=1.05.01.01&search-type=inventory">EAD</a><br>HTR results 1.05.01.02, Tweede WIC, 1.05.01.02, 1-1382, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/1.05.01.02/invnr/%40VII~1324C2?query=1.05.01.01&search-type=inventory">EAD</a> <br>HTR results 1.05.02, Raad der Koloniën, 1.05.02, 1-192, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/1.05.02/invnr/%40A?query=1.05.02&search-type=inventory">EAD</a><br>HTR results 1.05.03, Sociëteit van Suriname, 1.05.03, 1-566, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/1.05.03/invnr/%40A?query=1.05.03&search-type=inventory">EAD</a><br>HTR results 1.05.05, Sociëteit van Berbice, 1.05.05, 1-445, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/1.05.05/invnr/%40I?query=1.05.05&search-type=inventory">EAD</a><br>HTR results 1.05.06, Verspreide West-Indische stukken, 1.05.06, 1-1413, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/%401?query=1.05.06&search-type=inventory">EAD</a><br>HTR results 1.05.21, Dutch series Guyana, 1.05.21, AB.1.1-BB.7.1, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/1.05.21/invnr/%401.?query=1.05.21&search-type=inventory">EAD</a><br>HTR results 2.01.28.01, West-Indisch comité, 2.01.28.01, 1-254, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/2.01.28.01/invnr/%40I?query=2.01.28.01&search-type=inventory">EAD</a><br>HTR results 2.01.28.02, Raad der Amerikaanse Bezittingen, 2.01.28.02, 1-264, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/2.01.28.02/invnr/%40I.?query=2.01.28.02&search-type=inventory">EAD</a><br>HTR results 1.05.11.14, Notarissen Suriname tot 1828 [digitaal duplicaat], <a href="https://www.nationaalarchief.nl/onderzoeken/archief/1.05.11.14/invnr/%401?query=1.05.11.14&search-type=inventory&start=0&searchAfter=1%2C%401">EAD</a><br>HTR results 2.10.02, Koloniën, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/2.10.02/invnr/%40A.?query=2.10.02&search-type=inventory&start=0&searchAfter=1%2C%40A.">EAD</a> (indices only)</p> <p><strong>Noord-Hollands archief</strong><br>HTR results NHA Notarial 1617, Oud notarieel archief Haarlem, 1617,1593-1805, <a href="https://noord-hollandsarchief.nl/bronnen/archieven?mivast=236&mizig=210&miadt=236&micode=1617&milang=nl&miview=inv2">EAD</a><br>HTR results NHA Notarial 1972, Nieuw notarieel archief Haarlem, 1972, 5-813, <a href="https://noord-hollandsarchief.nl/bronnen/archieven?mivast=236&mizig=210&miadt=236&micode=1972&milang=nl&miview=inv2">EAD</a></p> <p><strong>Brabants Historisch Informatie Centrum</strong><br>HTR results BHIC 7048 , Notarissen in Boxmeer, 1814-1935, 7048, 1-103, 162, <a href="https://proxy.archieven.nl/235/7203CD0B57624FD0B60EC6330DC7C083">EAD</a><br>HTR results BHIC 7128 , Notarissen in Grave, 1648-1935, 7128, 140-266, <a href="https://proxy.archieven.nl/235/73F9057F3EA34930829D1B55A9806B4D">EAD</a><br>HTR results BHIC 7637 , Notarissen in Sint-Oedenrode, 1642-1935, 7637, 17-78A, <a href="https://proxy.archieven.nl/235/4EBF145BB30A4CB3996DDD968914BAEE">EAD</a></p> <p><strong>Gelders Archief</strong><br>HTR results GA 0168, Notariële Archieven 1811-1925, 168, 64-69, 943-960, 1366-1395, 2472-2501, 3481-3485, 3904-3926, <a href="https://permalink.geldersarchief.nl/7A6A6A052F8A45EAAB6C7D4ECCA4041A">EAD</a></p> <p><strong>Groninger Archieven</strong><br>HTR results GRA 85, Notarissen te Appingedam (standplaats 1), 1811-1935, 85, 2-157, <a href="https://hdl.handle.net/21.12105/23FF3576C5AD4A97A847C6FB6E55323A">EAD</a><br>HTR results GRA 86, Notarissen te Appingedam (standplaats 2), 1812-1922, 86, 2-71, <a href="https://hdl.handle.net/21.12105/5C702F8661C6438EBC02025A9FC48446">EAD</a></p> <p><strong>Historisch Centrum Overijssel</strong><br>HTR results HCO 0122, Notarissen in Overijssel, 122, 5-48, 2044-2073, 3019-3047, 3733-3775, <a href="https://historischcentrumoverijssel.nl/archieven/?mivast=20&mizig=210&miadt=141&micode=0122&miview=inv2">EAD</a></p> <p><strong>The Utrecht Archives</strong><br>HTR results HUA 34-1, Notarissen in de provincie Utrecht, 1617-1895, 34-1, 928-930, 2209-2330, <a href="https://hetutrechtsarchief.nl/collectie/609C5BB45AB14642E0534701000A17FD">EAD</a></p> <p><strong>Regionaal Historisch Centrum Limburg</strong><br>HTR results RHCL 09.009, Notarissen in de Arrondissementen Maastricht en Roermond, 1896-1905, 09.009, 9147-9279, <a href="http://www.archieven.nl/mi/1540/?mivast=1540&mizig=210&miadt=38&micode=09.009&miview=inv2">EAD</a></p> <p><strong>Tresoar</strong><br>HTR results Tresoar 26, Notarieel archief, 26, 1001-9028 (met hiaten), <a href="https://www.archieven.nl/nl/zoeken?mivast=0&mizig=210&miadt=36&micode=26&miview=inv2">EAD</a></p> <p><strong>Zeeuws Archief</strong><br>HTR results ZA 13.2, Notariële Archieven Zeeland 1906-1915, (1886) 1906-1915 (1925), 13.2, 1152-1163, 1261-1320, <a href="https://hdl.handle.net/21.12113/DA16099B241C49C8843B404710612498">EAD</a></p> <p><strong>Drents Archief</strong><br>HTR results DA 114.10, Notaris jhr.mr. J.A.G.van der Wijck te Assen, 114.10, 4-7, <a href="http://www.drentsarchief.nl/onderzoeken/archiefstukken?mivast=34&mizig=210&miadt=34&micode=0114.10&miview=inv2">EAD</a><br>HTR results DA 114.11, Notaris mr. D.A.M.de Fremery te Assen, 114.11, 1, <a href="http://www.drentsarchief.nl/onderzoeken/archiefstukken?mivast=34&mizig=210&miadt=34&micode=0114.11&miview=inv2">EAD</a><br>HTR results DA 114.18, Notaris mr. Warmolt van Roijen te Borger, 114.18, 2-7, <a href="http://www.drentsarchief.nl/onderzoeken/archiefstukken?mivast=34&mizig=210&miadt=34&micode=0114.18&miview=inv2">EAD</a><br>HTR results DA 114.19, Notaris mr. Ernst Sigismund. Cornets de Groot te Borger, 114.29, 2-8, <a href="http://www.drentsarchief.nl/onderzoeken/archiefstukken?mivast=34&mizig=210&miadt=34&micode=0114.19&miview=inv2">EAD</a><br>HTR results DA 114.22, Notaris mr. Albertus Slingenberg te Coevorden, 114.22, 1-24, <a href="http://www.drentsarchief.nl/onderzoeken/archiefstukken?mivast=34&mizig=210&miadt=34&micode=0114.22&miview=inv2">EAD</a><br>HTR results DA 114.23, Notaris mr. Gozewienus Weys te Coevorden, 114.23, 4-13, <a href="http://www.drentsarchief.nl/onderzoeken/archiefstukken?mivast=34&mizig=210&miadt=34&micode=0114.23&miview=inv2">EAD</a><br>HTR results DA 114.28, Notaris mr. Johannes Beckeringh van Loenen te Dwingeloo, 114.29, 7-13, <a href="http://www.drentsarchief.nl/onderzoeken/archiefstukken?mivast=34&mizig=210&miadt=34&micode=0114.28&miview=inv2">EAD</a><br>HTR results DA 114.39, Notaris mr. Gerrit ten Raa ten Gieten, 114.39, 6-14, <a href="http://www.drentsarchief.nl/onderzoeken/archiefstukken?mivast=34&mizig=210&miadt=34&micode=0114.39&miview=inv2">EAD</a><br>HTR results DA 114.45, Notaris mr. Hendrik Jan Carsten te Hoogeveen, 114.45, 17-36, <a href="http://www.drentsarchief.nl/onderzoeken/archiefstukken?mivast=34&mizig=210&miadt=34&micode=0114.45&miview=inv2">EAD</a><br>HTR results DA 114.54, Notaris mr. Warmold Lunsingh Tonckens te Meppel, 114.54, 18-26, <a href="http://www.drentsarchief.nl/onderzoeken/archiefstukken?mivast=34&mizig=210&miadt=34&micode=0114.54&miview=inv2">EAD</a></p> <p> </p> <p><strong>Dataset Ground Truth</strong><br>(Name archive, number archive, inventory numbers, link to inventory, type of dataset)</p> <p>Dataset: Notarial deeds Ground Truths of the trainingset</p> <ul> <li>Oud notarieel archief Haarlem, 1617, 495 random scans from 1593-1805, <a href="https://noord-hollandsarchief.nl/bronnen/archieven?mivast=236&mizig=210&miadt=236&micode=1617&milang=nl&miview=inv2">EAD</a>, GT Transcriptions</li> <li>Nieuw notarieel archief Haarlem, 1972, 952 random scans from 5-813, <a href="https://noord-hollandsarchief.nl/bronnen/archieven?mivast=236&mizig=210&miadt=236&micode=1972&milang=nl&miview=inv2">EAD</a>, GT Transcriptions</li> <li>(And 168 transcripties from 7 other archives.)</li> </ul> <p>Dataset: Notarial deeds Images of the trainingset,</p> <ul> <li>Nieuw notarieel archief Haarlem, 1972, 952 random scans from 5-813, <a href="https://noord-hollandsarchief.nl/bronnen/archieven?mivast=236&mizig=210&miadt=236&micode=1972&milang=nl&miview=inv2">EAD</a>, GT Scans</li> <li>Oud notarieel archief Haarlem, 1617, 495 random scans from 1593-1805, <a href="https://noord-hollandsarchief.nl/bronnen/archieven?mivast=236&mizig=210&miadt=236&micode=1617&milang=nl&miview=inv2">EAD</a>, GT Scans</li> <li>(And 168 scans from 7 other archives.)</li> </ul> <p><br>Dataset: VOC Ground Truths of the trainingset,<br>VOC, 1.04.02, 4735 random scans from 7527-9540, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/1.04.02/invnr/%40Deel%20I?query=1.04.02&search-type=inventory">EAD</a>, GT Transcriptions</p> <p><br>Dataset: VOC Images of the trainingset,<br>VOC, 1.04.02, 4735 random scans from 7527-9540, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/1.04.02/invnr/%40Deel%20I?query=1.04.02&search-type=inventory">EAD</a>, GT Scans</p> <p>--------------------------------------------------------------</p> <p>Version 3.0: The first HTR results from the VOC-collection are available in .txt format, Inventory numbers 7527-9540.</p> <p>Version 3.1: The HTR results from the VOC-collection are also available in PAGE xml format. </p> <p>Version 4.0: About 30 missing inventory numbers have been added to the VOC transcriptions. The HTR results of the Notarial Deeds from the NHA archives have been added. An example on full text searchable research can be found here (Dutch): <a href="https://kia.pleio.nl/groups/view/55812425/htr-en-ocr/blog/view/55814752/reconstructie-van-een-verijdelde-slavenopstand-met-behulp-van-automatische-handschriftherkenning-en-text-mining">https://kia.pleio.nl/groups/view/55812425/htr-en-ocr/blog/view/55814752/reconstructie-van-een-verijdelde-slavenopstand-met-behulp-van-automatische-handschriftherkenning-en-text-mining</a></p> <p>Version 5.0: Around a million pages of HTR results of the following archives have been added.</p> <p>Version 6.0: The HTR results of Oost-Indische Testamenten have been added. </p> <p>Version 7.0: The HTR results of the Brabants Historisch Informatie Centrum, Gelders Archief, Groninger Archieven, Historisch Centrum Overijssel, The Utrecht Archives, Regionaal Historisch Centrum Limburg, Tresoar, Zeeuws Archief and Drents Archief have been added.</p> <p>Version 7.1: A spreadsheet "ijsberg train-val.xlsx" has been added. The division of the training- and validationset of Ground Truth of the IJsberg model can be found here</p> <p>Version 8.0: HTR results of 1.05.11.14 have been added. The scans have been inferenced with Loghi.</p> <p>Version 8.1: HTR results of 2.10.02 indices have been added. The scans have been inferenced with Loghi.</p>
segmentation results and ground truth for ComSeg benchmark
<p>This folder displays segmentation results and ground truth cell masks used in the benchmark of the paper: A point cloud segmentation framework for image-based spatial transcriptomics, Defard et al. </p> <p><br>The mouse iluem dataset raw images can be downloaded from the study : Petukhov, V., Xu, R.J., Soldatov, R.A. et al. Cell segmentation in imaging-based spatial transcriptomics. Nat Biotechnol 40, 345–354 (2022). https://doi.org/10.1038/s41587-021-01044-w</p> <p> </p> <p>the Vizgen MERFISH breast cancer dataset was sampled from MERSCOPE FFPE Human Immuno-oncology, https://vizgen.com/data-release-program/ : Breast cancer</p> <p> </p> <p> </p>
GT4HistOCR: Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin
<p><strong>GT4HistOCR</strong> contains ground truth for research in Optical Character Recognition (OCR) technology applied to historical printings in German Fraktur and Early Modern Latin.</p> <p>The ground truth comes in pairs of images of single printed lines as they appear in book pages (*.png) and their corresponding diplomatic transcriptions (*.gt.txt), which are UTF-8 strings preserving the character forms (glyphs) as much as possible within the UNICODE standard. These pairs of line images and their transcriptions can be directly used to train recognition models with, e.g., the open source OCR engines <em>OCRopy</em> or <em>Tesseract</em>. A total of 313,173 ground truth lines are provided.</p> <p><strong>Please note that the subcorpora making up this collection used different transcription guidelines, so it is a bad idea to train a recognition model on the total collection! Rather train individual models for each subcorpus.</strong> Fur further information about the subcorpora, please see the README file and the accompanying publication.</p> <p>If these data are useful for you, please cite the accompanying publication:</p> <pre>@article{<a href="http://springmann.net/publications.html#springmann2018gt4hist">springmann2018gt4hist</a>, author = {Uwe Springmann and Christian Reul and Stefanie Dipper and Johannes Baiter}, title = {{Ground Truth for training {OCR} engines on historical documents in German Fraktur and Early Modern Latin}}, journal = {J. Lang. Technol. Comput. Linguistics}, volume = {33}, number = {1}, pages = {97--114}, year = {2018}, url = {https://jlcl.org/content/2-allissues/1-heft1-2018/jlcl_2018-1_5.pdf} }</pre>
Ground truth matches between maps with high disparity
<p>File describing the correct matches between the region of sketch maps and their model map, or between partial sensor built maps.</p> <p>The region were built using MAORIS segmentation algorithm</p>
TRIC Crawler Internal Localization on Pipe Segment Verification by External Ground Truth System
<p>Magnetic Crawling Robot on horizontal pipe segment</p> <p>External Trackikng with Optitrack System</p> <p>Internal Tracking with Odometry and Gravitation sensors</p> <p>Images, Plots, Movie, Raw-Data</p>
Ground truth for Neue Zürcher Zeitung black letter period
<p>The Neue Zürcher Zeitung (NZZ) has been publishing in black letter from its very first issue in 1780 until 1947. From this time period, we randomly sampled one frontpage per year, resulting in a total of 167 pages. We chose frontpages because they typically contain highly relevant material and because we want to make sure not to sample pages containing exclusively advertisements or stock information. During certain periods, the NZZ was published several times a day, and there were supplements, too. Due to incomplete metadata, the sampling included frontpages from supplements.</p> <p>We then manually corrected the pages, so it can be used as a ground truth to improve the OCR of black letter in historical newspapers.</p>
Bead tracking experimental ground truth for studying size segregation in bedload sediment transport
<p>Video sequences to study size segregation in bedload transport were recorded. Experiments consisted in mixtures of two-size spherical glass beads entrained by a turbulent supercritical free surface water flow over a mobile bed. The aim is to track all beads over time to obtain trajectories, particle velocities and concentrations, for studying bedload granular rheology, size segregation and associated morphology.</p> <p>This upload consists in :</p> <ul> <li>a 1000-frame experimental image sequence recorded at 130 fps with approximately 400 beads per frame (about 300 coarse and 100 small beads). The image resolution is 1280x320;</li> <li>the ground truth in the directory \result . It was obtained based on a tracking algorithm with subsequent expert modification. The tracking algorithm was developed by H. Lafaye de Micheaux et al. The code implementing the tracking algorithm is available on <a href="https://github.com/hugolafaye/BeadTracking">https://github.com/hugolafaye/BeadTracking</a>. The ground truth is a '.mat' file containing in particular the variable 'trackData' being a cell array of tracking matrices. There is one tracking matrix for each image of the sequence. Complete information on data format is given in the file readme.txt in the github BeadTracking package.</li> <li>In addition it contains three files allowing the user to run the BeadTracking package specifically on the experimental sequence : <ul> <li>sequence_param.txt : parameter file</li> <li>sequence_base_mask.tif : to remove the base</li> <li>template_transparent_bead_rOut10_rIn6.mat : a template for bead detection</li> </ul> </li> </ul>
Reads and truth variant set for benchmarking variant calling/genotyping
<p><em>downsampled.fasta</em> is created by converting this file (ftp://<a href="http://ftp-trace.ncbi.nlm.nih.gov/giab/ftp/data/AshkenazimTrio/HG002_NA24385_son/NIST_HiSeq_HG002_Homogeneity-10953946/HG002Run01-11419412/HG002run1_S1.bam">ftp-trace.ncbi.nlm.nih.gov/giab/ftp/data/AshkenazimTrio/HG002_NA24385_son/NIST_HiSeq_HG002_Homogeneity-10953946/HG002Run01-11419412/HG002run1_S1.bam</a>) to fasta and picking every second read (to get half the coverage and half the number of reads).</p> <p><em>The HG002_GRCh37_GIAB_highconf_CG</em>... file is created by picking variants on chromosome from this file (ftp://<a href="http://ftp-trace.ncbi.nlm.nih.gov/giab/ftp/release/AshkenazimTrio/HG002_NA24385_son/NISTv3.3.2/GRCh37/HG002_GRCh37_GIAB_highconf_CG-IllFB-IllGATKHC-Ion-10X-SOLID_CHROM1-22_v.3.3.2_highconf_triophased.vcf.gz">ftp-trace.ncbi.nlm.nih.gov/giab/ftp/release/AshkenazimTrio/HG002_NA24385_son/NISTv3.3.2/GRCh37/HG002_GRCh37_GIAB_highconf_CG-IllFB-IllGATKHC-Ion-10X-SOLID_CHROM1-22_v.3.3.2_highconf_triophased.vcf.gz</a>).</p> <p> </p> <p><strong>These two files can be used in benchmarking variant calling/genotyping.</strong></p>
UML Diagram Dataset from the paper Creating and Validating a Ground Truth Dataset of UML Diagrams Using Deep Learning Techniques
<p>Dataset of six UML diagram classes, comprising a total of 2,626 images (426 activity diagrams, 636 class diagrams, 352 component diagrams, 357 deployment diagrams, 435 sequence diagrams, and 420 use case diagrams). Importantly, unlike other existing datasets, ours contains no duplicate elements and all diagrams are correctly classified.</p>
Patrologia Graeca (OCR ground truth)
<p>Ground truth manually produced within the scope of the CGPG project (Calfa GREgORI Patrologia Graeca), led by Jean-Marie Auwers (UCLouvain), that aim to OCRize the remaining non-digital versions of the Patrologia Graeca volumes. This dataset compiles annotations from 2021 to 2022, and has been used for the Programming Historian online lesson "Transcription automatisée de graphies non latines" (link to come).</p> <p>The dataset contains a set of 100 images from the Patrologia Graeca, with their corresponding pageXML files. Annotation has been performed with the <a href="https://vision.calfa.fr">Calfa Vision platform</a>.</p> <p>Different level of annotations are proposed to overcome two tasks: (task1) detection of text regions in Greek (annotations at the region level only) and (task 2) recognition of ancient polytonic Greek (annotations at the line level).</p> <p><strong>Task 1:</strong><br> col_greek: 52<br> col_lat: 54<br> footnotes: 27<br> titles: 9</p> <p><strong>Task 2:</strong><br> lines: 2.579</p> <p>Final model of layout analysis is freely usable on the <a href="https://vision.calfa.fr">Calfa Vision platform</a>, by choosing the "Greek printed (Patrologia Graeca)" type of project.</p> <p>The project is sponsored by the ASBL <em>Byzantion</em>, the Fondation <em>Sedes Sapientiae</em>, the Institut <em>Religions, Spiritualités, Cultures, Sociétés</em> (RSCS, UCLouvain) and the <em>Centre d'études orientales</em> (CIOL, UCLouvain) and by a generous donor who wishes to remain anonymous. Other sponsors have recently expressed their willingness to support the project.</p>
Simulated industrial CT dataset for deep learning with dual-energy tomograms and ground truth material maps for copper and iron
<p>We use this dataset for training and evaluation of a deep learning model to discriminate multi-material systems with X-ray CT.</p> <p>The dataset consists of:</p> <ul> <li>inputs: dual-energy tomograms as binary files without a header (tensor <strong>shape for numpy: 2x128x128 @float32</strong>) <ul> <li>simulated spectra are 250kVp and 450kVp both prefiltered using 2mmCuSn</li> </ul> </li> <li>outputs: the material maps a.k.a. ground truths for the training (same shape as inputs) <ul> <li>sampled with a delaunay algorithm and randomly filled with iron and copper fractions</li> </ul> </li> </ul> <p>The <strong>dataset is normalized to [0, 1]</strong>, so you have to multiply by the mass densities of copper and iron to obtain effective fractions in g/cm^3.</p>
Klosterneuburg, Stiftsbibl., Cod. 48 - Ground Truth: Initial Release
<p>This is ground truth for the vast collection of sermons of Nikolaus von Dinkelsbühl (ca. 1360 to 17th March 1433), translated and reorganised by a German redactor, from the 15th century has never been edited until now. It consists of 361 folios of parchment and paper. The text speaks about various topics such as fasting and other religious practices. Being one of the leading intellectuals of his time, Nikolaus von Dinkelsbühl also contributed to the development of the University of Vienna. The manuscript was probably produced in the vicinity of Klosterneuburg in Austria and is still kept there today (Shelfmark: Cod. 48).</p> <p>Data collection and ground truth creation:</p> <p>The edition at hand was produced by an international team of researchers from various fields in the context of the Vienna HTR Winter School 2022 with the help of Transkribus Expert Client.</p> <p>We uploaded the images of the manuscript into the Transkribus platform, applied the line recognition tool and manually copied the transcribed text lines into the recognised line boxes. Various models were trained with the ground truth (20% of the entire codex) created by the team.</p> <p>Images of the Klosterneuburg, Augustiner-Chorherrenstift, Cod. 48 are available at: <a href="https://manuscripta.at/diglit/AT5000-48/0001">https://manuscripta.at/diglit/AT5000-48/0001</a></p>
A Semantically Annotated 15-Class Ground Truth Dataset for Substation Equipment
<p>This dataset contains 1660 images of electric substations with 50705 annotated objects. The images were obtained using different cameras, including cameras mounted on Autonomous Guided Vehicles (AGVs), fixed location cameras and those captured by humans using a variety of cameras. A total of 15 classes of objects were identified in this dataset, and the number of instances for each class is provided in the following table:</p> <table align="center"> <caption>Object classes and how many times they appear in the dataset.</caption> <thead> <tr> <th scope="col">Class</th> <th scope="col">Instances</th> </tr> </thead> <tbody> <tr> <td>Open blade disconnect</td> <td>310</td> </tr> <tr> <td>Closed blade disconnect switch</td> <td>5243</td> </tr> <tr> <td>Open tandem disconnect switch</td> <td>1599</td> </tr> <tr> <td>Closed tandem disconnect switch</td> <td>966</td> </tr> <tr> <td>Breaker</td> <td>980</td> </tr> <tr> <td>Fuse disconnect switch</td> <td>355</td> </tr> <tr> <td>Glass disc insulator</td> <td>3185</td> </tr> <tr> <td>Porcelain pin insulator</td> <td>26499</td> </tr> <tr> <td>Muffle</td> <td>1354</td> </tr> <tr> <td>Lightning arrester</td> <td>1976</td> </tr> <tr> <td>Recloser</td> <td>2331</td> </tr> <tr> <td>Power transformer</td> <td>768</td> </tr> <tr> <td>Current transformer</td> <td>2136</td> </tr> <tr> <td>Potential transformer</td> <td>654</td> </tr> <tr> <td>Tripolar disconnect switch</td> <td>2349</td> </tr> </tbody> </table> <p>All images in this dataset were collected from a single electrical distribution substation in Brazil over a period of two years. The images were captured at various times of the day and under different weather and seasonal conditions, ensuring a diverse range of lighting conditions for the depicted objects. A team of experts in Electrical Engineering curated all the images to ensure that the angles and distances depicted in the images are suitable for automating inspections in an electrical substation.</p> <p>The file structure of this dataset contains the following directories and files:</p> <p> images: This directory contains 1660 electrical substation images in JPEG format.</p> <p>images: This directory contains 1660 electrical substation images in JPEG format.</p> <ul> <li><strong>labels_json: </strong>This directory contains JSON files annotated in the VOC-style polygonal format. Each file shares the same filename as its respective image in the images directory.</li> <li><strong>15_masks:</strong> This directory contains PNG segmentation masks for all 15 classes, including the porcelain pin insulator class. Each file shares the same name as its corresponding image in the images directory.</li> <li><strong>14_masks:</strong> This directory contains PNG segmentation masks for all classes except the porcelain pin insulator. Each file shares the same name as its corresponding image in the images directory.</li> <li><strong>porcelain_masks:</strong> This directory contains PNG segmentation masks for the porcelain pin insulator class. Each file shares the same name as its corresponding image in the images directory.</li> <li><strong>classes.txt:</strong> This text file lists the 15 classes plus the background class used in LabelMe.</li> <li><strong>json2png.py:</strong> This Python script can be used to generate segmentation masks using the VOC-style polygonal JSON annotations.</li> </ul> <p>The dataset aims to support the development of computer vision techniques and deep learning algorithms for automating the inspection process of electrical substations. The dataset is expected to be useful for researchers, practitioners, and engineers interested in developing and testing object detection and segmentation models for automating inspection and maintenance activities in electrical substations.</p> <p>The authors would like to thank UTFPR for the support and infrastructure made available for the development of this research and COPEL-DIS for the support through project PD-2866-0528/2020—Development of a Methodology for Automatic Analysis of Thermal Images. We also would like to express our deepest appreciation to the team of annotators who worked diligently to produce the semantic labels for our dataset. Their hard work, dedication and attention to detail were critical to the success of this project.</p>
AimSeg ground truth and classifiers
<p>The data is divided into two distinct datasets: one dedicated to mice undergoing remyelination, known as the validation dataset, and the other focusing on a healthy control specimen. These datasets consist of transmission electron microscopy (TEM) images of the corpus callosum (CC) in adult mice. Both datasets are enriched with annotated ground truth information for two key tasks: instance segmentation (identifying individual myelinated axons) and semantic segmentation (discerning axons, inner cytoplasmic tongue, and myelin). Furthermore, we have incorporated ilastik pixel and object classifiers, specifically trained on remyelinating data, into the repository. To streamline usage, the training dataset has been integrated into the corresponding project file.</p>
Images of Indians from Spanish Florida in the 16th Century. Truth and Lies, Speculation and Facts
<p>videopresentation «IMAGES OF INDIANS FROM SPANISH FLORIDA IN THE XVI CENTURY. TRUTH AND LIES, SPECULATION AND FACTS» for the «THE RUSSIAN-AMERICAN RESEARCH NEXUS 2ND FORUM (RARN II Forum)» </p> <p>23 April 2021 г. Session 3 (Moderator: David H. Dye [University of Memphis]) Konstantin Ashrafyan (Moscow Region State University). Images of Indians from Spanish Florida in the 16th Century. Truth and Lies, Speculation and Facts</p>
Investigating the truthfulness of autobiographical events through mouse dynamics
<p>This repository contains the dataset associated with the original paper "Investigating the truthfulness of autobiographical events through mouse dynamics”, by M. Monaro, A. Guiotto, G. Sartori. Data are organized as follows:</p> <p>- the dataset used by the authors to perform statistical analysis (ANOVAs) (.xls)</p> <p>- the training sets used by the authors to train and validate ML models (.arff)</p> <p>- the test sets used by the authors to test the ML models (.arff)</p> <p>The "Data dictionary" file contains the description of the variables in each data file.</p> <p>.arff files can be directly run in WEKA software 3.9.</p> <p>The "Details on ML classifiers parameters" file contains the algorithm parameters used to tun ML classifiers.</p>
H01 synapse ground truth
<p>Synapse ground truth used for the H01 study.</p> <p>Ground truth used to train a network for synapse identification (see associated paper for details) ares contained in the six Synapse_GT_6_subvolumes.zip</p> <p>Ground truth used for excitatory vs inhibitory classification of identified synapses (see associated paper for details) is contained in the files ei_gt_from_2945_synapses_from_104_proofread_neurons.csv and ei_gt_from_2367_verified_connections.csv</p>
Dataset: Testing for effects of growth rate on isotope trophic discrimination factors and evaluating the performance of Bayesian stable isotope mixing models experimentally: a moment of truth?
<p><span>Discerning assimilated diets of wild animals using stable isotopes is well established where potential dietary items in food webs are isotopically distinct. With the advent of mixing models, and Bayesian extensions of such models (Bayesian Stable Isotope Mixing Models, BSIMMs), statistical techniques available for these efforts have been rapidly increasing. The accuracy with which BSIMMs quantify diet, however, depends on several factors including uncertainty in tissue discrimination factors (TDFs; <em>Δ</em>) and identification of appropriate error structures. Whereas performance of BSIMMs has mostly been evaluated with simulations, here we test the efficacy of BSIMMs by raising domestic broiler chicks (<em>Gallus gallus domesticus</em>) on four isotopically distinct diets under controlled environmental conditions, ideal for evaluating factors that affect TDFs and testing how BSIMMs allocate individual birds to diets that vary in isotopic similarity. For both liver and feather tissues,<em> δ</em><sup>13</sup>C and <em>δ </em><sup>15</sup>N values differed among dietary groups. <em>Δ</em><sup>13</sup>C of liver, but not feather, was negatively related to the rate at which individuals gained body mass. For <em>Δ</em><sup>15</sup>N, we identified effects of dietary group, sex, and tissue type, as well as an interaction between sex and tissue type</span><span><span>, </span></span><span><span>with f</span></span><span>emales having higher liver <em>Δ</em><sup>15</sup>N relative to males. For both tissues, BSIMMs allocated most chicks to correct dietary groups, especially for models using combined TDFs rather than diet specific TDFs, and those applying a multiplicative error structure. These findings provide new information on how biological processes affect TDFs and confirm that adequately accounting for variability in consumer isotopes is necessary to optimize performance of BSIMMs. Moreover, they demonstrate experimentally that these types of models reliably characterize consumed diets when appropriately parameterized.<span> </span></span></p>
Supplementary files and data Files for "Discordance between mitochondrial, nuclear, and symbiont genomes in aphid phylogenetics: who is telling the truth?" Zoological journal of the Linnean society, 2024, vol 1, issue 4. https://doi.org/10.1093/zoolinnean/zlae098
<p>This repository comprises</p> <ul> <li>a file with all supplementary Tables (<strong>Supplementary_Tables</strong>). Table S1: Collection details and voucher ID for aphid samples from the CBGP-Inrae collection, data origin is given for other specimens. Table S2: Amplification success of long range DNA fragments from mitochondrial genomes . Table S3: Primers used for fluidigm aplification of nuclear genes and sequencing success. Table S4. Genomic features of newly sequenced Buchnera aphidicola with aphid taxonomic affiliation. Table S5: Summary of models used for each ML analysis and corresponding log-likelihood score of the best tree.Table S6: Output of RERConverge analyses.</li> <li>two Supplementary figures: Figure S1: Workflow of phylogenetic analyses as implemented on each dataset. Figure S2: Plot depicting the genome-wide pattern of molecular evolution (dN/dS) between disymbiotic (n = 15) and monosymbiotic aphid (n = 45) branches across the ML phylogeny (horizontal bars indicate 95% CI of the means). <em>P</em> value was calculated by using Wilcoxon Rank test.</li> <li>a word file (Text S1) with : Details of protocol for obtaining mitochondrial genomes through long-range DNA amplifications and Illumina sequencing, and two-step PCR protocole.</li> <li>an archive (archive1) with the mitochondrial AA and DNA matrices and alternative phylogenetic trees under ML and Bayesian analyses ; </li> </ul> <ul> <li>an archive (archive2) with the nuclear AA and DNA matrices and alternative phylogenetic trees under ML and Bayesian analyses</li> <li>an archive (archive 3) with the twelve new <em>Buchnera</em> genome drafts.</li> <li> an archive (archive4) with the <em>Buchnera</em> AA matrices and alternative topologies </li> </ul> <p> </p>
Ground truth of binary disassembly
<p>Dataset of binary disassembly, including x86/x64, arm32/aarch64, and mips32/mips64 binaries. Ground truth of binary disassembly includes instruction starts, function entries and jump tables.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.