🔍

AWS Certified Machine Learning Engineer - Associate MLA-C01 — Question 58

Topic 1 · Question 58 of 226

Topic 1 · Question 58

An ML engineer trained an ML model on Amazon SageMaker to detect automobile accidents from dosed-circuit TV footage. The ML engineer used SageMaker Data Wrangler to create a training dataset of images of accidents and non-accidents. The model performed well during training and validation. However, the model is underperforming in production because of variations in the quality of the images from various cameras. Which solution will improve the model's accuracy in the LEAST amount of time?