Overlapping detections refer to the scenario where multiple detection systems or algorithms identify the same object or event within a shared space or timeframe, potentially leading to redundancy or conflicts in data interpretation. Effectively managing overlapping detections is crucial for ensuring accuracy and efficiency in systems such as surveillance, autonomous vehicles, and multi-sensor networks.