Ice crystal image dataset from CPI, 2DS and HVPS probes

For conducting a study on cloud particle shape recognition, a dataset comprising a sufficient number of accurately labeled particles is essential. Our dataset of particle images is derived from several field observation projects that run in China and USA. These cloud particle images were recorded by the airborne probes - cloud particle imager (CPI), two-dimensional Stereo (2D-S) Probe and high volume particle spectrometer (HVPS). The particle images were classified into nine categories: plate (Pla), rosette (Ros), sphere (Sph), column (Col), column aggregate (Col. Agg.), dendrite (Den), graupel (Gra), aggregate (Agg), and irregular (Irr).The dataset contains 8,100 representative images of particles, with 300 images for each of the different habit classes for each probe. This dataset were randomly divided into a training set and a test set with a ratio of 4:!.

搜集汇总

背景与挑战

背景概述

该数据集是一个用于冰晶形状识别研究的图像数据集，包含来自中国和美国多个实地观测项目采集的冰晶图像，使用CPI、2D-S和HVPS三种探针记录。数据集涵盖9个冰晶类别，总共有8,100张代表性图像，每个类别每个探针有300张图像，并已按4:1比例随机划分为训练集和测试集，便于机器学习模型开发和评估。