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Why are class labels needed when training an image-classification model?

Answer and explanation

Correct answer: So the model can learn which class each image belongs to

Class labels provide the correct category for each training image, such as cat or dog. In supervised learning, the model learns to associate visual features with these known categories and then classifies new images. Therefore, option A is correct. Option B concerns changing image size, whereas labels identify the image category.

Related tags

Image ClassificationSupervised LearningComputer VisionTraining LabelsClass Labels

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