SowPostureDS: A Multi-Class Image Dataset for YOLO-Based Detection of Sow Postures in diverse Farrowing Systems.

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Title: SowPostureDS: A Multi-Class Image Dataset for YOLO-Based Detection of Sow Postures in diverse Farrowing Systems.
Authors: Wahmhoff J; Institute of Animal Breeding and Husbandry, Christian-Albrechts-University Kiel, Hermann-Rodewald-Str. 6, 24118, Kiel, Germany., Traulsen I; Institute of Animal Breeding and Husbandry, Christian-Albrechts-University Kiel, Hermann-Rodewald-Str. 6, 24118, Kiel, Germany., van Asten AL; Chamber of Agriculture of North Rhine-Westphalia, Centre for Agriculture Haus Düsse, Haus Düsse 2, 59505, Bad Sassendorf, Germany., Krieter J; Institute of Animal Breeding and Husbandry, Christian-Albrechts-University Kiel, Hermann-Rodewald-Str. 6, 24118, Kiel, Germany., Dirksen N; Chamber of Agriculture of Lower Saxony, Mars-la-Tour-Str. 6, 26121, Oldenburg, Germany., Diers S; Chamber of Agriculture of Schleswig-Holstein, Gutshof 1, 24327, Blekendorf, Germany., Wutke M; Institute of Animal Breeding and Husbandry, Christian-Albrechts-University Kiel, Hermann-Rodewald-Str. 6, 24118, Kiel, Germany. mwutke@tierzucht.uni-kiel.de.
Source: Scientific data [Sci Data] 2026 Jul 04; Vol. 13 (1). Date of Electronic Publication: 2026 Jul 04.
Publication Type: Journal Article; Dataset
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2052-4463
DOI:10.1038/s41597-026-07788-x