Patil Kailas, Chumchu Prawit
Vishwakarma University, Pune, India.
Kasetsart University, Sriracha, Thailand.
Data Brief. 2024 Mar 7;54:110292. doi: 10.1016/j.dib.2024.110292. eCollection 2024 Jun.
This dataset presents a comprehensive collection of images representing both dried and live samples from eight distinct Thai cannabis classes. The dataset includes a total of 14,094 images, with images depicting dried and healthy specimens. These images serve as a valuable resource for researchers engaged in botanical exploration, machine learning, and computer vision studies. Additionally, the dataset facilitates investigations into the medicinal properties of Thai cannabis. Interdisciplinary collaboration is encouraged, providing opportunities for innovative insights spanning biology, horticulture, and data science. Beyond fundamental research, this dataset holds practical implications for agriculture, technology development, and disease prevention, offering insights into both dried and live states of Thai cannabis plants across various strains.
该数据集展示了一个全面的图像集合,这些图像代表了来自八个不同泰国大麻类别的干燥样本和活体样本。该数据集总共包含14,094张图像,其中有描绘干燥且健康标本的图像。这些图像对于从事植物探索、机器学习和计算机视觉研究的人员来说是宝贵的资源。此外,该数据集有助于对泰国大麻的药用特性进行研究。鼓励跨学科合作,为跨越生物学、园艺学和数据科学的创新见解提供机会。除了基础研究之外,该数据集对农业、技术发展和疾病预防具有实际意义,提供了关于泰国大麻植物不同品种的干燥状态和活体状态的见解。