八个泰国大麻类的综合数据集用于植物学探索
Kailas Patil1,2, Prawit Chumchu2
1Vishwakarma University, Pune, India.
Data in brief
|March 22, 2024
概括
这一数据集提供了8个泰国大麻类的14094张图像,涵盖了干燥和活体标本. 它支持植物学,机器学习和大麻的药用特性方面的研究.
科学领域:
- 植物学 植物学
- 计算机视觉 计算机视觉
- 数据科学数据科学数据科学
- 园艺园艺 园艺园艺
背景情况:
- 需要一个全面的图像数据集泰国大麻的研究.
- 现有的数据集可能不包括各种菌株的活体和干燥标本.
研究的目的:
- 展示泰国大麻的大规模,多样化的图像数据集.
- 促进植物识别,机器学习和药用属性分析方面的研究.
主要方法:
- 收集并策划了14094张图像.
- 包括来自八个不同的泰国大麻类别的干燥和活样本.
- 保证图像显示的是健康的标本.
主要成果:
- 现在可以获得14094张泰国大麻图像的丰富数据集.
- 该数据集包括干燥和活体大麻样品的详细图像.
- 涵盖了八个不同的泰国大麻类别.
结论:
- 该数据集是植物学,机器学习和医学研究的宝贵资源.
- 鼓励生物,园艺和数据科学领域的跨学科合作.
- 对农业,技术和疾病预防有实际影响.
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