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17 lines
1.3 KiB
17 lines
1.3 KiB
# Train your classifier for multiple fruits and vegetables
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## Instructions
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In this lesson you trained an image classifier to be able to distinguish between ripe and unripe fruits, but only using one type of fruit. A classifier can be trained to recognize multiple fruits, with varying rates of success depending on the type of fruit and the difference between ripe and unripe.
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For example, with fruits that change color when they ripen, image classifiers might be less effective than a color sensor as they usually work on grey scale images instead of full color.
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Train your classifier with other fruits to see how well it works, especially when fruits look similar. For example, apples and tomatoes.
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## Rubric
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| Criteria | Exemplary | Adequate | Needs Improvement |
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| -------- | --------- | -------- | ----------------- |
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| Train the classifier for multiple fruits | Was able to train the classifier for multiple fruits | Was able to train the classifier for one additional fruit | Was unable to train the classifier for more fruits |
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| Determine how well the classifier works | Was able to comment correctly on how well the classifier worked with different fruits | Was able to observe and offer suggestions as to how well it was working | Was unable to comment on how well the classifier worked |
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