Relying solely on end-of-line testing isn't enough when security, traceability, and mission reliability are vital.

Abstract: Large language models (LLMS) have shown great potential for automating and improving the quality of data annotation. This study proposes a quality improvement pipeline, which combines Chain ...

Abstract: The generation of high-quality annotated image datasets with low computational cost and automated labeling is essential for advancing computer vision systems. However, manual labeling of ...