This invention discloses an image
data annotation method based on
artificial intelligence, relating to the fields of
computer vision and
machine learning. It includes the following steps: S1 Model initialization step; S2 Intelligent pre-
annotation and selection step; S3 Human-
machine collaborative correction step; S4 Model iterative update step; S5 Closed-loop feedback step. This invention significantly improves efficiency: intelligent pre-
annotation avoids
manual annotation from scratch, and utilizes an active learning strategy to maximize the value of human intervention, increasing overall
annotation efficiency by more than 50%. Dynamic quality improvement: the closed-loop iteration mechanism allows the model to continuously learn from human feedback, and the pre-annotation quality continuously improves with each iteration, forming a self-reinforcing virtuous cycle.