Ultrasound image dataset for ovarian follicular development detection in pigs

Pigs are one of the largest scale livestock species globally. In large-scale pig farms, the reproductive management of gilts and sows is a critical control point to ensure production capacity and reduce costs. More precisely, the understanding the developmental status of ovarian follicles in pigs is a critical basis for developing and improving management programme of oestrus detection and artificial insemination, a core component that determines sow production performance, but this knowledge is largely lacking. Ultrasound scan is a non-invasive and convenient method to understand the follicular developmental statues. However, there is currently a lack of reliable data to establish imaging standards, making it difficult to provide the most accurate support and reference for reproductive management in pigs. This dataset contains 868 images of ovarian follicles at different developmental stages in gilts and sows in favour of the identification and understanding of sow reproductive condition. To our knowledge, it is the inaugural dataset containing ultrasound images of large animals.

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Publication Details

Journal
Data in Brief
Published
2024-10-16
DOI
https://doi.org/10.1016/j.dib.2024.111033
Citations
1
Primary Topic
Animal Behavior and Welfare Studies
Type
article
Field-Weighted Citation Impact
0.64

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article

Ultrasound image dataset for ovarian follicular development detection in pigs

Jiahua Bai, Lei An, Jianhui Tian, Zhicong Wang et al.
1 citations
Data in Brief
Animal Behavior and Welfare Studies
0.64
article

Ultrasound image dataset for ovarian follicular development detection in pigs

Jiahua Bai, Lei An, Jianhui Tian, Zhicong Wang, Yan Liu, Shumin Wang, Qin Li, Song Yuqing, Kexiong Liu
article en
1 citations

Abstract

Pigs are one of the largest scale livestock species globally. In large-scale pig farms, the reproductive management of gilts and sows is a critical control point to ensure production capacity and reduce costs. More precisely, the understanding the developmental status of ovarian follicles in pigs is a critical basis for developing and improving management programme of oestrus detection and artificial insemination, a core component that determines sow production performance, but this knowledge is largely lacking. Ultrasound scan is a non-invasive and convenient method to understand the follicular developmental statues. However, there is currently a lack of reliable data to establish imaging standards, making it difficult to provide the most accurate support and reference for reproductive management in pigs. This dataset contains 868 images of ovarian follicles at different developmental stages in gilts and sows in favour of the identification and understanding of sow reproductive condition. To our knowledge, it is the inaugural dataset containing ultrasound images of large animals.

Data in BriefVol. 57
Beijing Academy of Agricultural and Forestry Sciences (CN)
National Natural Science Foundation of China, China Agricultural University
Zero hunger
Openalex Percentile: Top 27%
Animal Behavior and Welfare Studies
0.64
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Ultrasound image dataset for ovarian follicular development detection in pigs — Jiahua Bai, Lei An, et al. · Data in Brief (2024) | TGRS Research Map | TGRS