What risk comes from training on web-scraped photos when the deployment data will differ?
Question: In one to three sentences, explain the main risk of starting with photos collected from public web pages when the examples the system will face later are not similar.
Sample answer: The main risk is that the model learns patterns from the web images that do not match the later real-world inputs, so it may perform poorly once it is deployed. In other words, the training data and the eventual data distribution are too different.
Key points:
- Web-scraped photos may not match later inputs
- The central problem is weak generalization to the deployment distribution
Rubric: Full credit: the response identifies mismatch between training and deployment data and names poor generalization. Partial credit: the response mentions mismatch or risk without clearly connecting it to generalization. No credit: the response describes a different issue.
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