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Automated Annotations
Leverage simple class descriptions as natural-language prompts to generate automated annotations across object detection and image segmentation workflows. This capability enables enterprise teams to accelerate dataset creation, standardize label quality at scale, and significantly reduce manual effort, delivering faster model development and higher operational efficiency across AI initiatives.
Get StartedAutomated Annotations
Auto-generate high-quality detection and segmentation annotations from simple natural-language prompts that are scalable, cost-efficient, and minimize human bias.
Scale to thousands of images in minutes while reducing labeling costs by up to 90%.
Convert simple class descriptions into precise, pixel-perfect labels for detection and segmentation.
From industrial inspections to medical imaging, auto-annotations seamlessly adapt to any dataset or environment.
Auto-generate annotations, refine edge cases through expert review, and ensure consistent, unbiased quality.
Scale to thousands of images in minutes while reducing labeling costs by up to 90%.
Convert simple class descriptions into precise, pixel-perfect labels for detection and segmentation.
From industrial inspections to medical imaging, auto-annotations seamlessly adapt to any dataset or environment.
Auto-generate annotations, refine edge cases through expert review, and ensure consistent, unbiased quality.