Annotated Image

Annotated images are foundational to training computer vision models, enabling tasks like object detection, segmentation, and scene understanding. Current research focuses on improving the efficiency and quality of annotation, including developing methods to generate synthetic annotated data using diffusion models and leveraging techniques like active learning and few-shot learning to minimize manual annotation effort. These advancements are crucial for addressing the limitations of existing datasets, particularly in specialized domains like medical imaging and precision agriculture, ultimately leading to more accurate and robust computer vision systems.