Disclosed are a facial recognition model evaluation method and apparatus, and a storage medium and a computer device, relating to the technical field of artificial intelligence. The method comprises: constructing n positive test samples (S102); constructing n negative test samples (S104); inputting the n negative test samples into a facial recognition model (S106); receiving a feature vector corresponding to a scene photograph and a feature vector corresponding to a base image which are output by the facial recognition model, calculating the cosine similarity between the feature vector corresponding to the scene photograph and the feature vector corresponding to the base image, and determining the similarity between the scene photograph and the base image of each negative test sample of the n negative test samples according to the cosine similarity obtained through calculation (S108); sorting the n negative test samples according to the similarity between the scene photograph and the base image of each negative test sample of the n negative test samples to obtain a sorting result (S110); acquiring a preset error recognition rate (S112); determining a target similarity according to the preset error recognition rate and the sorting result (S114); calculating a passing rate of the n positive test samples according to the target similarity (S116); generating an evaluation result of the facial recognition model according to the passing rate of the n positive test samples, wherein the evaluation result is used for evaluating the recognition accuracy of the facial recognition model (S118); and outputting the evaluation result of the facial recognition model (S120). The method can solve the problem in the prior art of being unable to evaluate a facial recognition model according to the recognition accuracy.
FACIAL RECOGNITION MODEL EVALUATION METHOD AND APPARATUS, AND STORAGE MEDIUM AND COMPUTER DEVICE