Ultrasound image dataset for ovarian follicular development detection in pigs
Description
Pigs are one of the largest scale livestock species globally. In large-scale pig farms, the reproductive management of sows is a critical control point to ensure production capacity and reduce costs. The formulation of the sow breeding management program mainly depends on the accurate assessment of the development of ovarian follicles and ovulation status in sows. A comprehensive dataset of high-resolution images, capturing various size follicles in different stages and conditions, has been assembled. The dataset includes 868 ultrasound images, categorizing follicles as four sizes: Small, Medium, Large, Preovulatory follicles in gilts and sows . This initiative aims to enhance the reproductive efficiency of sows in pig farms and facilitate research into sow reproductive physiology.
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The dataset is composed of ultrasound images of sow ovary. All these high-quality ultrasound images are collected by Honda HS-1600 V device (Honda Electronics, Tokyo, Japan). The bulk of the training data was collected over the course of four years from four different pig farms located in Beijing, China, which are the Great Wall Danyu livestock, Beijing Pig Breeding Co., Ltd. Pinggu branch, Nankou original breeding pig farm and Xishao original breeding pig farm.
Institutions
Categories
Funding
the National Natural Science Foundation of China
31930101
National Center of Technology Innovation for Pigs
NCTIP-XD/B03
Ningbo Major Science and Technology Project
2021Z112
National Key R&D Program
2022YFD1300301
Beijing Innovation Consortium of Livestock Research System
BAIC05-2024