Generate annotations from class descriptions

Leverage our Gen AI powered text prompting—converting natural language into accurate labels for detection and segmentation tasks. Combining automation with human validation, it delivers faster and more reliable results than manual methods. Best suited for common objects in general contexts.

Upto

700

Faster annotations: auto-generate annotations using simple class descriptions

Zero expertise needed: Natural-language prompts eliminate manual effort

Scalable: Ideal for massive datasets across domains

Consistent & cost-effective: Uniform annotations with reduced human bias

Upto

700

Faster annotations: auto-generate annotations using simple class descriptions

Zero expertise needed: Natural-language prompts eliminate manual effort

Scalable: Ideal for massive datasets across domains

Consistent & cost-effective: Uniform annotations with reduced human bias

Key Features

Speed & Efficiency
Significantly reduce annotation time compared to manual methods, accelerating your project timelines.
Consistency
AI-driven annotations ensure higher consistency across large datasets, minimizing human error and bias.
Scalability
Easily scale your annotation efforts for enterprise-level projects without proportional increases in manual labor.
Ease of Use
Utilize intuitive natural language prompts, making the annotation process accessible even without deep technical expertise.
Cost Effective
Lower operational costs by reducing the need for large teams of manual annotators.
Human-in-the-Loop
Combine AI speed with human validation for optimal accuracy and reliability, especially for complex cases.

Key Utility and Advantage points

Speed

Manual Annotation

Slow; time-intensive