Object detection is a fundamental problem in computer vision concerned with identifying and locating instances of objects belonging to specific classes (e.g., humans, cars) within an image or video. This field investigates methodologies for simultaneously classifying objects and determining their precise spatial extent, often represented by bounding boxes or pixel-level masks. Its significance lies in serving as a critical component for numerous advanced visual tasks such as scene understanding, autonomous systems, and content analysis.