Data: "A Depthwise Separable Convolutional Neural Network-based framework for jet flooding detection in a laboratory-scale sieve tray column"

This database contains in total 5458 high-quality images of jet flooding and regular experimental operating conditions in a transparent sieve tray glass column test facility, located in the Laboratory for Unit Operations at the Münster University of Applied Sciences (Technology Campus Steinfurt).本数据库总计包含5458张高质量图像，内容涵盖射流泛液与常规实验运行工况下的场景，所有图像均取自设于明斯特应用技术大学（施泰因富特技术校区）单元操作实验室的透明筛板玻璃柱试验装置。