Drone-detection-dataset

Dataset containing IR, visible and audio data that can be used to train and evaluate drone detection sensors and systems.

Video labels: Airplane, Bird, Drone and Helicopter. Audio labels: Drone, Helicopter and Background.

The dataset contains 90 audio clips and 650 videos (365 IR and 285 visible). If all images are extracted from all the videos the dataset has a total of 203328 annotated images.

Free to download, use and edit. Descriptions of the videos are found in "Video_dataset_description.xlsx". The videos can be used as they are, or together with the respective label-files. The annotations are in .mat-format and have been done using the Matlab video labeler. Some instructions and examples are found in "Create_a_dataset_from_videos_and_labels.m"

Please cite:
"Svanström F. (2020). Drone Detection and Classification using Machine Learning and Sensor Fusion". Link to thesis
or
"Svanström F, Englund C and Alonso-Fernandez F. (2020). Real-Time Drone Detection and Tracking With Visible, Thermal and Acoustic Sensors". Link to ICPR2020-paper
or
"Svanström F, Alonso-Fernandez F and Englund C. (2021). A Dataset for Multi-Sensor Drone Detection". Link to Data in Brief

Contact:
DroneDetectionThesis@gmail.com