YOLO-based segmented dataset for drone vs. bird detection for deep and machine learning algorithms.

ABSTRACT: The use of unmanned aerial vehicles (UAVs) has been rapidly increasing in both professional and recreational settings, leading to concerns about the safety and security of people and facilities. One area of research that has emerged in response to this concern is the development of detection systems for UAVs. However, many existing systems have limitations, such as detection failures or false detection of other aerial objects, including birds. To address this issue, the development of a standard dataset that provides images of both drones and birds is essential for training accurate and effective detection models. In this context, we present a dataset consisting of images of drones and birds operating in various environments. This dataset will serve as a valuable resource for researchers a

SUBMITTER: Shandilya SK 

PROVIDER: S-EPMC10440445 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature