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通过口腔图像进行牛生物识别的数据集

Syed Umaid Ahmed¹, Jaroslav Frnda², Muhammad Waqas¹

¹National University of Computer and Emerging Sciences FAST-NUCES, Karachi, Pakistan.

|February 19, 2024

概括

一个新的牛生物识别数据集,包含超过8,000张注释图像,有助于牛识别和管理的研究. 本资源支持计算机视觉和机器学习在农业方面的进步.

科学领域:

农业农业农业农业
计算机科学计算机科学
数据科学数据科学数据科学
生物识别信息生物识别信息

背景情况:

牛的生物识别对于管理和识别至关重要.
现有的数据集可能缺乏品种,年龄和环境条件的多样性.
口印记是牛的可靠生物识别特征.

研究的目的:

引入一个全面和多样化的牛生物识别数据集.
促进牛生物识别和计算机视觉应用领域的研究.
支持机器学习模型的开发,特别是转移学习.

主要方法:

从公共市场和农场收集了超过8,000张注释的牛照片.
确保品种,年龄,性别和环境条件的多样性.
带有注释的图像,重点关注嘴巴区域作为关键的生物识别特征.

主要成果:

建立了一个大规模的,注释的牛生物识别数据集.
数据集包括来自各种相机质量和条件的图像.
为跨学科的研究和开发提供了宝贵的资源.

结论:

牛生物识别数据集是促进牛的识别和管理的重要资源.
它使计算机视觉和机器学习中的算法开发成为可能.
促进跨学科合作,促进农业和数据科学领域的创新.

关键词:

农场农场农场农场标识识别识别识别畜牧业畜牧业畜牧业畜牧业模式识别模式识别模式识别标记标记是指标记的标记

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