There's probably a relatively small amount of data for CV systems to learn from.
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Computer Vision: For image classification using deep learning, a rule of thumb is 1,000 images per class, where this number can go down significantly if one uses pre-trained models
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The real work would likely be getting data and putting it in the right format, not building systems. As the saying goes, data scientists are mostly just data janitors.