Drone Dataset

Drone datasets are collections of imagery and sensor data acquired by unmanned aerial vehicles (UAVs), crucial for training and evaluating computer vision algorithms for various applications. Current research focuses on creating larger, more diverse datasets encompassing varied environments, viewpoints (e.g., aerial, ground), and object types, often employing deep learning models like YOLO and transformers for tasks such as object detection, tracking, and semantic segmentation. These datasets are vital for advancing autonomous drone navigation, improving safety and security systems (e.g., drone detection, collision avoidance), and enabling new applications in fields like environmental monitoring and search and rescue.