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AutoML Vision in Google Cloud needs a minimum number of tagged images to train a model.

The minimum required by AutoML Vision is 10 examples per label but the more labelled images used in training, the better your model will be.

Any number of images will work

The minimum required by AutoML Vision is 700 examples per label but the more labelled images used in training, the better your model will be.

The minimum required by AutoML Vision is 100 examples per label. In general, the more labelled images you can bring to the training process, the better your model will be.

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A supervised machine learning model

Uses unlabelled examples

Uses labelled examples

Learns through reinforcement

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Confusion Matrix:

High scores in blue mean the model is not performing well

High scores in blue mean the model is performing well

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