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2 cards from this section. Quick, good the night before a test.
Define image classification.
Think about how we sort images based on their content.
What is the role of an algorithm in image classification?
Consider what instructions might guide the image analysis.
What is the primary goal of image classification?
Remember, it's about identifying what's in the image.
True or False: Image classification can be done without a training dataset.
Consider how machines learn to recognize different items.
Design an image classification model for identifying types of birds from photographic images. What kind of data would you need, and how would you train your model?
Consider what features might help distinguish various birds.
Evaluate the limitations of image classification in low-light conditions. How would you address these challenges?
Think about how changes in lighting might change image clarity.
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