When can one model label images from two different capture sources consistently?
Question: In one to three sentences, explain what must be true for a system to label images correctly when the images come either from a warehouse camera or from a customer’s phone.
Sample answer: The same relationship between image features and labels must hold for both sources, so one model can use the visual patterns in either kind of image to choose the right label. The system should not have to rely on which device produced the image.
Key points:
- One feature-to-label rule must work for both image sources
- The model should produce the correct label from either source type
- Knowing the capture device should not be necessary
Rubric: Full credit for stating that a common feature-to-label relationship must apply to both sources and that the system can classify correctly without being told which device captured the image.
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