Which evaluation metric is commonly used for image classification tasks?

Which evaluation metric is commonly used for image classification tasks?

Step 1: Understand what image classification is. It involves categorizing images into different classes or labels.
Step 2: Learn about evaluation metrics. These are ways to measure how well a model performs.
Step 3: Identify the most common evaluation metric for image classification. This is accuracy.
Step 4: Understand what accuracy means. It measures the number of correct predictions made by the model compared to the total number of predictions.
Step 5: Remember that accuracy is expressed as a percentage. For example, if a model correctly classifies 80 out of 100 images, its accuracy is 80%.

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