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Free computer vision course

Computer Vision and Multimodal AI

Module 12 Knowledge Check

5 questions. Pass mark 4 out of 5. Answer every question before checking the answer key below, then retry after reading the feedback.

1. The scope should define the model by…

2. A class with five examples should be…

3. The model should be reported against…

4. The deployment decision should be made…

5. In an honestly measured model card…

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Answer Key and Explanations

Check these only after attempting every question.

1. B - the decision it supports

That determines the metric, the threshold and the refusal conditions.

2. B - reported as unmeasured

Five examples support no performance claim, and including it in an overall figure hides that.

3. B - the majority baseline and a trivial baseline

Accuracy can move 0.7 points while the metric that matters moves 62 - the baselines are what make that visible.

4. B - per slice

An overall recall of 62% can average over slices differing by 25 points, and the weak ones are usually smallest.

5. B - prohibitions usually outnumber permissions

Unvalidated slices, unvalidated devices and prohibited purposes accumulate faster than approved uses.

Practical Check

Apply this module to your own work: complete the module activity for *Capstone: Responsible Vision Workflow*, then write one sentence naming what your result shows and one naming what it does not.

Strong Answer Pattern

A strong answer names the task, the evidence used, the check performed, and the remaining limitation. It avoids "proved", "guaranteed", or "always" unless the evidence genuinely supports it.