How Generative AI is Changing Bounding Box Annotation

In the realm of computer vision, Bounding Box Annotation serves as a crucial step in training machine learning models to accurately detect and classify objects. Historically, the process of annotating datasets with bounding boxes has been labor-intensive and time-consuming, necessitating human annotators to painstakingly draw and label boxes around objects in vast numbers of images, sometimes reaching into the millions. However, the advent of Generative AI (GenAI) is significantly transforming this process. Generative AI not only automates the annotation but also improves its accuracy, mitigat

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