Question
A startup needs an image classifier for a niche product category but has only a few thousand labeled images. Which approach can reduce training effort compared with training a large vision model from scratch?
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A startup needs an image classifier for a niche product category but has only a few thousand labeled images. Which approach can reduce training effort compared with training a large vision model from scratch?
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