A geospatial vision dataset for detecting, counting, and precisely locating objects smaller than five pixels in satellite and aerial imagery. Spanning wind turbines, offshore platforms, and navigation beacons, it pairs imagery with natural-language questions, object counts, fractional-pixel location annotations, and visual answer keys. Positive examples and challenging negatives test fine-grained perception and false-positive resistance, while source lineage and federal inventory references support traceability.