What is the impact of dataset size on computer vision models?

What is the impact of dataset size on computer vision models?

The size of the dataset significantly affects the performance of computer vision models. Larger datasets typically lead to better generalization and accuracy.

Can you explain why larger datasets improve model performance?

Larger datasets provide more diverse examples, which help the model learn various features and reduce overfitting.

Is there a point where adding more data doesn't help?

Yes, after a certain point, the benefits of adding more data diminish, especially if the data is redundant or not diverse.

What are some strategies to handle small datasets?

You can use data augmentation, transfer learning, or synthetic data generation to improve model performance with small datasets.