Active Object Detection for UAV Remote Sensing via Behavior Cloning and a Shallow Feature Enhanced Q-Network

Carla-AOD is a novel aerial object detection dataset created using the CARLA autonomous driving simulator. It comprises 2,160 images from 18 diverse urban and rural scenarios, featuring 4 vehicle categories, 24 viewpoints, and 5 scales. This dataset aims to support research in aerial object detection, offering comprehensive viewpoint coverage and rich environmental diversity to enhance model performance and generalization.