Unverified50% confidenceFactExact time
Training a vision model requires dividing the data into a training set, a validation set, and a test set: the training set is used to update model parameters, the validation set is used to tune hyperparameters and select the model version, and the test set is used to evaluate the model's true performance on unseen data.
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10/13/2026
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