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Choosing the Easier Image Classification Task
Case context: You are building a wildlife photo app with a small budget for manual labeling. You must decide whether one component should learn to classify whether an image contains a vehicle or whether it contains a scooter.
Question: Based on the idea that simpler tasks need less data, which subtask should you choose for this component, and why?
Sample answer: Choose the task of deciding whether an image contains a vehicle. That is a broader, easier binary classification problem than deciding whether it contains a scooter. Because simpler tasks generally require fewer labeled examples, it is the better fit when labeling capacity is limited.
Key points:
- Pick the 'contains a vehicle' task.
- State that it is easier than scooter-level identification.
- Explain that easier tasks need fewer training examples, which matches the data constraint.
Rubric: The response must select the easier task ('contains a vehicle') and justify it by stating that easier tasks require fewer training examples, making it appropriate under a limited labeling budget.
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