Annotation & Training Platform

Core Value

Key Challenges

Low Data Quality

Annotation standards are inconsistent, resulting in uneven data quality.

Disorganized Management Processes

Team collaboration is difficult, and progress cannot be synchronized in real time.

High Annotation Costs

Data versioning is chaotic, making project management time‑consuming and labor‑intensive.

Poor Model Performance

Data and models are disconnected, leading to long cycles for iterative optimization.

Solutions

Standardized Annotation Process

Unified annotation guidelines and quality inspection standards to ensure data integrity.

Intelligent Collaboration Platform

Real‑time task allocation and progress tracking to improve team efficiency.

Full Lifecycle Management

Comprehensive data version control and project monitoring capabilities.

Closed‑Loop Training Iteration

Annotated data is directly applied to model training, enabling continuous performance optimization.