Case context: A retail company has 180,000 photos collected from public websites and 4,000 photos submitted by people using its mobile app. The team can train a very large neural network for a long time on the full set of 184,000 images.

Question: Should the company include the public-web photos, and what conditions make that choice reasonable?

Sample answer: Yes. If the model is very large and the training run is long enough on the combined dataset, then adding the public-web photos is reasonable. Under those conditions, the difference in dataset size does not by itself prevent the system from learning from both sources.

Key points:

• Include the public-web photos.
• Use a very large neural network.
• Train long enough on all 184,000 images.
• The 45:1 size imbalance does not, on its own, rule out this choice.
• The aim is to improve performance on both data sources.

Rubric: Full credit requires a clear decision to include the public-web photos, both enabling conditions of model size and long training, recognition that learning from both sources is the goal, and correct handling of the 45:1 ratio as compatible with the recommendation.