在精密家禽养殖中对计算机视觉开放访问数据集的调查
1Department of Poultry Science, The University of Georgia, Athens, GA 30602, USA; Institute for Artificial Intelligence, The University of Georgia, Athens, GA 30602, USA; Institute for Integrative Precision Agriculture, The University of Georgia, Athens, GA 30602, USA.
Poultry science
|January 10, 2025
概括
这项研究调查了准确家禽养殖的开放式图像和视频数据集. 它强调了对标准化数据集的需求,并为未来的数据收集和家禽科学模型开发提供了指导.
科学领域:
- 农业工程 农业工程
- 计算机视觉 计算机视觉
- 动物科学动物科学
背景情况:
- 精密家禽养殖中的计算机视觉应用正在增加.
- 缺乏大规模的开放式数据集,阻碍了可复制性和验证.
- 现有的数据集是分散的,需要进行全面的调查.
研究的目的:
- 为准确家禽养殖提供第一个对开放式图像/视频数据集的调查和分析.
- 根据其应用,识别和分类现有数据集.
- 提供关于用于家禽研究的数据集创建和选择的见解.
主要方法:
- 系统的文献审查和对已发表的图像/视频数据集的分析.
- 根据应用程序对数据集的分类:行为监测,健康状况,活体表现,产品质量和动物特征.
- 讨论数据集创建中的关键方面:获取,增强,注释,共享和基准测试.
主要成果:
- 总共有20个合格的开放访问图像/视频数据集被确定和总结.
- 数据集被分为五个类别:4个是行为,6个是健康,3个是表现,4个是质量,3个是特征.
- 概述了开发新数据集和选择现有数据集的关键考虑因素.
结论:
- 这项调查解决了精密家禽养殖中全面数据集信息的稀缺问题.
- 这些发现有助于研究人员选择合适的数据集用于模型开发和优化.
- 提供了创建新的高质量数据集的建议,以推动该领域的发展.
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