Hard-Level Data Annotation Quiz for AI Specialists
A rigorous assessment of cutting‑edge data labeling concepts for seasoned AI practitioners.
Quiz Questions
Answer all questions below and test your knowledge.
- 1
Which metric best captures inter‑annotator agreement for multi‑label classification tasks?
- 2
Which active learning strategy selects samples that would most reduce model uncertainty in a classification labeling pipeline?
- 3
When using bounding‑box annotation for object detection, which IoU threshold is commonly adopted to deem a prediction correct in benchmark datasets?
- 4
In a large‑scale crowdsourced labeling project, which incentive structure most effectively sustains high annotation quality over time?
- 5
Which annotation format enables efficient hierarchical labeling for image segmentation tasks?
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