Case context: You are building an object-detection pipeline for warehouse inventory images. During error analysis, you find 90 examples in which the box-prediction module drew incorrect bounding boxes. You already have these examples and want to use them to improve that part of the system.

Question: How should you use these 90 examples to make progress on the box-prediction module?

Sample answer: Reuse the 90 failures to conduct a focused error analysis of the box-prediction module. Group the mistakes into categories, look for recurring failure patterns, and use that information to decide what changes would most improve that component.

Key points:

• Reuse the 90 incorrect bounding-box examples
• Analyze them specifically as box-prediction failures
• Identify recurring error types and likely causes
• Use the findings to guide component improvements

Rubric: The learner must say that the 90 examples should be reused for deeper error analysis of the box-prediction module, and that the goal is to identify patterns or causes of failure that can guide improvements for that component.