Why is a mixed dev/test split misleading in a warehouse-vision project?
Question: Answer in one to three sentences using the characteristics from the evaluation-data example.
Sample answer: If you randomly mix 84,000 warehouse photos with 6,000 smartphone photos, the dev/test sets end up being about 93.3% warehouse images. That would not match the future smartphone images the model is meant to handle, so the evaluation would be misleading.
Key points:
- Random mixing makes the dev/test sets about 93.3% warehouse images.
- The split does not match the future smartphone-image distribution.
Rubric: The response must state that random shuffling leaves the dev/test sets dominated by warehouse images at about 93.3%, which means they do not reflect the future smartphone-image distribution.
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Why is a mixed dev/test split misleading in a warehouse-vision project?