The application discloses a
data labeling method and device, equipment and a readable storage medium, which can be applied to the field of
artificial intelligence technology, and automatically labels the composition frame
score of each candidate
frame based on a pre-trained aesthetic
large model, performs first labeling to obtain a high-
score composition image, performs second labeling based on the sample labeling
score of the high-score composition image fed back by a
client, obtains multiple
optimal composition frames and corresponding labeling score results, the first labeling is realized based on automatic labeling, and the second optimal selection is realized based on a small amount of manual labeling, that is, it is not necessary to score each candidate frame manually, the pre-trained aesthetic
large model and a small amount of manual intervention are used to obtain a labeling
training set for retraining the aesthetic
large model, the aesthetic large model is fine-tuned based on the labeling
training set, the artificial cost of constructing the aesthetic large model is reduced, and the accuracy of automatic labeling of the aesthetic large model is improved.