You are training an image classification model, but it achieves less than satisfactory evaluation metrics. How might you improve it?
Adding more images to the training set can improve the model's performance by giving it more data to learn from, which can lead to better generalization and more accurate predictions. More diverse and representative images can enhance the model's evaluation metrics.
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