FAQ
1. How is annotation quality ensured?
How does the platform balance efficiency and accuracy for high-quality annotations?
With over a year of experience and 300TB of annotated data, we ensure:
- Efficiency: Leverage historical annotations to suggest next steps, improving batch annotation speed.
- Quality: Algorithms flag outliers for review, ensuring consistency.
Does the platform support automated or AI-assisted annotation?
Yes, we use large language models (via Tencent Cloud's Deepseek API) for semantic validation. Future plans include integrating image recognition for automated annotations.
2. How is the annotation team managed?
How is annotator performance measured (e.g., error rate)?
Errors are logged in a database, allowing detailed performance tracking for each annotator.
Is dynamic task allocation supported?
Project managers can assign tasks based on complexity and experience. A task pool for self-assignment by efficient annotators is planned.
How are subjective tasks (e.g., intent recognition) reviewed to reduce ambiguity?
Daily reviews and team discussions align standards and improve consistency.
How are annotation standards for complex scenarios defined?
- Customizable annotation rules per project.
- Experienced managers can provide templates for guidance.
3. How is data quality ensured?
How is multimodal data synchronized and validated?
- Synchronization is handled during preprocessing, with seamless integration for our devices. Custom data may require additional adaptation.
- Consistency checks (e.g., frame drop detection) are visualized during preprocessing.
4. How is data security and compliance ensured?
How does the platform ensure end-to-end data isolation for sensitive data?
Data access protection:
- Cloud storage supports IP whitelisting and server-side encryption.
- Role-based access control and audit logs ensure multi-layered security.
Data transmission encryption: Data can be encrypted with public keys during upload and decrypted locally with private keys, ensuring only authorized clients can access it.
5. Customization capabilities?
What client experiences does the platform have?
We support offline deployments for private environments, serving major corporations, universities, and robotics teams.
Are APIs and development documentation available?
Yes, we provide comprehensive API and development guides. Clients can use APIs for integration or request custom development.
Can the platform handle large-scale data?
Yes, designed for object storage, our private MinIO+NAS setup handles over 300TB. The platform supports distributed clusters and dynamic scaling on cloud providers like Tencent Cloud.