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Few Shot Visual Prompting
QpiAI Pro’s Few-Shot Visual Prompting transforms the annotation process by intelligently clustering similar images and requiring as few as five labeled examples to automatically annotate the remaining dataset. This GenAI-driven workflow dramatically reduces manual effort, enhances labeling consistency, and delivers high-quality results at scale while still allowing expert reviewers to refine edge cases with precision.
Get StartedFewShot Visual Prompting
Use GenAI-driven, embedding-based cluster annotation to produce precise labels for complex datasets with minimal manual input and optional review.
Group similar images via embeddings, label just 4–8 samples per cluster, and instantly propagate annotations across thousands, cutting manual effort to near zero and reducing costs by up to 80%.
Surface outliers and edge cases for targeted human review, ensuring accuracy and correcting any cluster-level misannotations.
Delivers reliable annotations even when data is limited, noisy, or domain-specific—where traditional automation breaks down.
Group similar images via embeddings, label just 4–8 samples per cluster, and instantly propagate annotations across thousands, cutting manual effort to near zero and reducing costs by up to 80%.
Surface outliers and edge cases for targeted human review, ensuring accuracy and correcting any cluster-level misannotations.
Delivers reliable annotations even when data is limited, noisy, or domain-specific—where traditional automation breaks down.