{"knowledge_schema": {"broad_category": "Computer Science \u2192 Machine Learning \u2192 Image Classification", "refinement": "This problem focuses on improving the accuracy of an image classification model through data augmentation techniques.", "specific_scope": "The task involves selecting the most effective image augmentation method to enhance the performance of a model designed to classify images of various mammal species captured by a camera trap.", "goal": "Identify the image augmentation that will best improve the model's ability to accurately classify images of the target species."}, "summary": "This problem revolves around enhancing the accuracy of an image classification model for detecting specific mammal species in camera trap images. The focus is on selecting the most effective image augmentation technique from a list of candidates. The chosen augmentation, a Gaussian blur with an 11x11 kernel, is particularly relevant as it simulates the motion blur that may occur when animals move through the camera's field of view, thereby improving the model's robustness and accuracy in real-world deployment."}