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Python Source Code - 9.0 KB - MD5: 59baf529751235b9e71af17fad399d7e
Code
Tabular Data - 1.2 MB - 6 Variables, 8978 Observations - UNF:6:1iExMYvub9VC/JGYJsZMHg==
Markdown Text - 6.8 KB - MD5: 7429a7c03b5c9fa3c58dff852e2112fa
Documentation
Apr 11, 2024 - GLOBALISE
Klut, Stefan; Koert, Rutger van; Maas, Martijn, 2024, "GLOBALISE Laypa Region Model - August 2023", https://hdl.handle.net/10622/DMAS2T, IISH Data Collection, V1
This is a Laypa region detection model that was created to detect and identify regions (such as page number, heading, paragraph, and marginalia) on the scans of the GLOBALISE VOC corpus. It was trained on Ground Truth that is also available in this Dataverse (GLOBALISE Ground Tru...
Unknown - 8.9 KB - MD5: f125e928160cd408b40b59522486abf6
Unknown - 434.3 MB - MD5: ee4b07bb4e3e84f62b6bfd1ab6601779
Apr 11, 2024 - GLOBALISE
Koert, Rutger van; Klut, Stefan; Maas, Martijn, 2024, "GLOBALISE Loghi Handwritten Text Recognition Model – August 2023", https://hdl.handle.net/10622/X2JZYY, IISH Data Collection, V1
This is a Loghi Handwritten Text Recognition (HTR) model that was created to transcribe text on the scans of the GLOBALISE VOC corpus. It was finetuned using Ground Truth that is also available in this Dataverse (GLOBALISE Ground Truth for Handwritten Text and Layout Recognition)...
Plain Text - 931 B - MD5: f6375f81250d7d950463afa186274e6f
JSON - 49.3 KB - MD5: ed686e1344e068aaf3b9d841b1ea0166
Unknown - 55 B - MD5: ecc0a18087f14975209ff4a7b0836927
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