Question 1

What is your typical project timeline for data annotation?

Accepted Answer

Timelines depend on scope and complexity. Small projects (1,000–10,000 images) typically take 1–2 weeks, while large-scale projects (100,000+ images) can take 2–3 months. We provide a detailed plan during project scoping.

Question 2

What quality assurance measures do you use for AI model validation?

Accepted Answer

A multi-level QA process: individual annotator review, peer review, supervisor validation and automated quality checks. Our target is 99%+ accuracy, with continuous monitoring and feedback loops.

Question 3

Do you support custom annotation formats for computer vision?

Accepted Answer

Yes. We support all major formats (COCO, YOLO, Pascal VOC and more), can create custom formats to your specification, and provide format conversion for different model-validation needs.

Question 4

How do you handle data security and confidentiality?

Accepted Answer

All data is encrypted in transit and at rest. We sign NDAs, can work with on-premise setups when required, and our team is trained in data-privacy best practices.

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