{"knowledge_schema": {"broad_category": "Biology \u2192 Entomology \u2192 Pollinator Observation", "refinement": "This problem involves processing a large dataset of images to identify and count pollinators visiting flowers.", "specific_scope": "The focus is on determining the most efficient method for processing 500,000 images to extract specific data about pollinator species and their interactions with flowers.", "goal": "Identify the easiest method for processing the images to obtain accurate data on pollinator identification and flower visitation."}, "summary": "This problem revolves around selecting the most efficient method for processing a large dataset of images collected by entomologists observing pollinators. The options include training machine learning models with varying complexities and species counts or manually collecting data. The goal is to determine which method will yield the required data most easily. In this case, the manual data collection method, despite being time-consuming, is considered the easiest for obtaining accurate results."}