IceDetectNet: a rotated object detection algorithm for classifying components of aggregated ice crystals with a multi-label classification scheme
A rotated object detection algorithm (IceDetectNet) with a multi-label classification scheme for classifying components of aggregated ice crystals, achieving 92% accuracy for aggregate/non-aggregate detection and 86% for basic habit classification.
Dec 19, 2024
