The dataset consists of over 10k drone images with annotated bounding boxes around each drone. The bounding boxes provide precise localization information to detect and track drones in a variety of backgrounds and environments. Each image contains metadata such as bounding box coordinates, image resolution, and a label identifying the drone object. The dataset is suitable for training and evaluating computer vision models for object detection tasks, especially in applications such as surveillance, drone detection, and autonomous tracking.