近距离的土壤图像和相应的粒子大小分布的数据集
1Department of Civil Engineering and Natural Hazards, Peter Jordan Straße 82, Vienna, 1190, Austria.
Data in brief
|June 12, 2025
概括
这一数据集为地质工程提供了土壤图像和粒子大小分布. 它有助于开发和验证用于土壤分析和粒子大小预测的机器学习模型.
科学领域:
- 地质技术工程 地质技术工程
- 土壤科学 土壤科学
- 计算机视觉 计算机视觉
背景情况:
- 准确的土壤颗粒大小分布对于地质技术应用至关重要.
- 现有的土壤分析方法可能耗时且资源密集.
- 越来越需要可访问和可重复的土壤数据集.
研究的目的:
- 提供一套新的近距离土壤图像数据集,并提供相应的粒子大小分布.
- 促进用于土壤分析的机器学习模型的开发和验证.
- 支持自动化土壤表征和地质工程方面的研究.
主要方法:
- 收集了从粘土泥土到石的土壤样本.
- 在控制的实验室照明下,使用两个智能手机捕获了近距离图像.
- 每个土壤样本的颗粒大小分布数据都被仔细记录下来.
- 数据被组织成一个全面和可访问的数据集.
主要成果:
- 成功编制了多样化的土壤图像和粒子大小分布的数据集.
- 该数据集涵盖了与地质工程相关的广泛的土壤类型.
- 所有图像都是在标准化条件下拍摄的,以确保数据的一致性和质量.
结论:
- 这一数据集是推进土壤科学中的机器学习应用程序的宝贵资源.
- 它使研究人员能够开发和测试用于从图像中预测土壤颗粒大小的算法.
- 这一数据集的可用性可以加速地质工程和土壤表征方面的创新.
相关概念视频
01:12Sampling Distribution
Given simple random samples of size n from a given population with a measured characteristic such as mean, proportion, or standard deviation for each sample, the probability distribution of all the measured characteristics is called a sampling distribution. How much the statistic varies from one sample to another is known as the sampling variability of a statistic. You typically measure the sampling variability of a statistic by its standard error. The standard error of the mean is an example...
01:23Pore Size Distribution
In concrete, the pore size distribution significantly influences the material's properties. Capillary pores, markedly larger than gel pores, form a vast network within partially hydrated cement paste, reducing the concrete's strength and increasing its permeability. This heightened permeability leads to a greater risk of damage from environmental factors like freeze-thaw cycles and chemical attacks, with the extent of vulnerability also being tied to the water-to-cement ratio.
Adequate...
Adequate...