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An AI-based image data annotation method

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.
Owner:LIAOCHENG SHUNWANG NETWORK TECHNOLOGY CO LTD