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Data for the evaluation of the MAIA method for image annotation

Data for the evaluation of the MAIA method for image annotation
Data for the evaluation of the MAIA method for image annotation
This dataset contains all annotations and annotation candidates that were used for the evaluation of the MAIA method for image annotation. Each row in the CSVs represents one annotation candidate or final annotation. Annotation candidates have the label "OOI candidate" (label_id 9974). All other entries represent final reviewed annotations. Each CSV contains the information for one of the three image datasets that were used in the evaluation. Visual exploration of the data is possible in the BIIGLE 2.0 image annotation system at https://biigle.de/projects/139 using the login maia@example.com and the password MAIApaper.
Zenodo
Zurowietz, Martin
620d1c96-3e2b-45de-a421-5df523bcbf12
Langenkämper, Daniel
101fc0f4-902e-4040-a351-5d4069ea4e78
Hosking, Brett
1d665df5-7c75-43c1-8b4a-ae4df5b8678c
Ruhl, Henry A
177608ef-7793-4911-86cf-cd9960ff22b6
Nattkemper, Tim W
a6f7cd11-5871-4aa9-b781-049a392de4a6
Zurowietz, Martin
620d1c96-3e2b-45de-a421-5df523bcbf12
Langenkämper, Daniel
101fc0f4-902e-4040-a351-5d4069ea4e78
Hosking, Brett
1d665df5-7c75-43c1-8b4a-ae4df5b8678c
Ruhl, Henry A
177608ef-7793-4911-86cf-cd9960ff22b6
Nattkemper, Tim W
a6f7cd11-5871-4aa9-b781-049a392de4a6

(2018) Data for the evaluation of the MAIA method for image annotation. Zenodo doi:10.5281/zenodo.1453836 [Dataset]

Record type: Dataset

Abstract

This dataset contains all annotations and annotation candidates that were used for the evaluation of the MAIA method for image annotation. Each row in the CSVs represents one annotation candidate or final annotation. Annotation candidates have the label "OOI candidate" (label_id 9974). All other entries represent final reviewed annotations. Each CSV contains the information for one of the three image datasets that were used in the evaluation. Visual exploration of the data is possible in the BIIGLE 2.0 image annotation system at https://biigle.de/projects/139 using the login maia@example.com and the password MAIApaper.

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More information

Published date: 10 October 2018

Identifiers

Local EPrints ID: 473964
URI: http://eprints.soton.ac.uk/id/eprint/473964
DOI: doi:10.5281/zenodo.1453836
PURE UUID: 19aab65d-71e1-46b1-a344-cf273ae693cb

Catalogue record

Date deposited: 06 Feb 2023 17:49
Last modified: 17 Jul 2023 16:33

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Contributors

Contributor: Martin Zurowietz
Contributor: Daniel Langenkämper
Contributor: Brett Hosking
Contributor: Henry A Ruhl
Contributor: Tim W Nattkemper

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