How can you improve the accuracy of a custom model in the Custom Vision Service?

• A. By using fewer training images
• B. By providing more training images
• C. By avoiding evaluation metrics
• D. By limiting the model refinement process

Answer: (B)

Providing more training images is the best way to improve the accuracy of a custom model in the Custom Vision Service. A larger and more diverse set of training images can enhance the model's ability to learn essential features and distinctions between different classes. This abundance of data allows the model to better understand variations in object appearances, lighting conditions, and backgrounds, thereby reducing overfitting and improving generalization to unseen data.

Using fewer training images tends to restrict the model's capacity to learn effectively. Likewise, avoiding evaluation metrics does not contribute to improvements in accuracy; rather, it makes it difficult to assess model performance and identify areas needing enhancement. Limiting the model refinement process can hinder optimization opportunities, which are crucial for enhancing a model's predictive capabilities. Therefore, supplying more training images is a fundamental approach to achieving improved model accuracy.