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来自孟加拉国的七种热带花种的数据集:用于分类和生态研究的资源

Riazul Islam Rahat¹, Md Sohag Hossain¹, Mayen Uddin Mojumdar¹

¹Multidisciplinary Action Research Laboratory, Department of Computer Science and Engineering, Daffodil International University, Birulia, Dhaka 1216, Bangladesh.

|March 3, 2025

概括

介绍了来自孟加拉国的4319张热带花图像的新数据集. 这种资源有助于花分类和生态研究,涵盖了各种条件下的七种物种.

科学领域:

植物学植物学
计算机科学计算机科学
生态生态学生态生态学

背景情况:

准确的花种识别对于生物多样性监测和生态研究至关重要.
现有的数据集可能缺乏热带物种,生长阶段和照明条件的多样性.
高质量的标记图像数据集对于训练机器学习模型至关重要.

研究的目的:

介绍热带花朵数据集,这是一个新的图像集,展示了来自孟加拉国的七种热带花朵物种.
为研究自动化花分类,生态监测和植物学研究提供有价值的资源.
建立一个基准数据集,用于评估和改进花的识别算法.

主要方法:

收集了四千三百一十九张七种热带花种的高质量图像:,布干维利亚,红花,,,棘冠,林,马达加斯加.
使用Redmi Note 11智能手机在孟加拉国达卡区各个地点拍摄的图像.
通过包括代表不同生长阶段和照明条件的图像来确保数据集的多样性.

主要成果:

热带花朵数据集包括4,319张图像,每个七种物种都有特定的数量.
数据集捕捉了由于生长阶段和照明的外观的自然变化.
图像是使用普通智能手机收集的,这表明了更广泛的可访问性.

结论:

热带花朵数据集是植物图像分析领域的重要贡献.
这一数据集将促进生态和生物多样性应用的自动花种识别的进步.
未来的工作将集中在数据增强和模型微调上,以提高概括性和准确性.

关键词:

植物学分类学植物学分类学计算机视觉计算机视觉计算机视觉生态监测生态监测花的多样性花的多样性.图像识别图像识别图像识别植物数据集是植物数据集.品种识别品种识别品种识别

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