DEEP LEARNING MODEL PERFORMANCE EVALUATION METHOD AND SYSTEM

The present invention relates to a deep learning model performance evaluation method and system. Connectivity patches in a true label and predicted results are first 5 acquired respectively; information of the connectivity patches are then calibrated according to a spatial position relation; similarities between a connectivity patch sequence of the true label and connectivity patch sequences of the predicted results are calculated according to the calibrated information of the connectivity patches; and the deep learning model performance is evaluated according to the similarities. According 10 to the present invention; by using the connectivity patches as a granularity; a focusing spatial position; and a spatial relationship; the model performance is evaluated according to the similarity between the connectivity sequence of a labeled image and the connectivity sequences of predicted images; so that the retention of the predicted results in terms of spatial geometric characteristics can be directly reflected.