negative flip rate

The Negative Flip Rate refers to the proportion of positive samples that a model incorrectly predicts as negative in computer vision tasks. The goal is to reduce this rate by evaluating and optimizing model performance, thereby improving the accuracy of detection and classification. In practical applications, reducing the negative flip rate helps enhance system reliability and efficiency, minimize false negatives and false positives, and thus improve user experience and system security.