Stall Number

"Stall number" refers to two distinct but related research areas: identifying numerical labels in images (e.g., cow stall numbers) and predicting aerodynamic stall in aircraft or similar systems. Current research focuses on applying machine learning, specifically convolutional neural networks (like YOLO and ResNet) and autoencoders, to improve the accuracy and efficiency of these tasks. Accurate stall number identification improves data management in animal agriculture, while precise aerodynamic stall prediction enhances the safety and performance of autonomous vehicles.