Simeon Okechukwu Ajakwe, Vivian Ukamaka Ihekoronye, Golam Mohtasin, Rubina Akter, Dong Seong Kim, Jae Min Lee

The deployment of unmanned aerial vehicles (UAV) for logistics and other civil purposes is consistently disrupting airspace security. Consequently, there is a scarcity of robust datasets for the development of real-time systems that can checkmate the incessant deployment of UAVs in carrying out criminal or terrorist activities. VisioDECT is a robust vision-based drone dataset for classifying, detecting, and countering unauthorized drone deployment using visual and electro-optical infra-red detection technologies.

 

DOI Link: 
10.21227/n27q-7e06
Links or DOI: 
Tractable Minacious Drones Aerial Recognition and Safe-Channel Neutralization Scheme for Mission Critical Operations
Adaptive Drone Identification and Neutralization Scheme for Real-Time Military Tactical Operations
Aerial Supervision of Drones and Other Flying Objects Using Convolutional Neural Networks
Read more

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Subscribe now or login.

[1] Simeon Okechukwu Ajakwe, Vivian Ukamaka Ihekoronye, Golam Mohtasin, Rubina Akter, Ali Aouto, Dong Seong Kim, Jae Min Lee, "VisioDECT Dataset: An Aerial Dataset for Scenario-Based Multi-Drone Detection and Identification", IEEE Dataport, 2022. [Online]. Available: http://dx.doi.org/10.21227/n27q-7e06. Accessed: Jan. 13, 2025.
@data{n27q-7e06-22,
doi = {10.21227/n27q-7e06},
url = {http://dx.doi.org/10.21227/n27q-7e06},
author = {Simeon Okechukwu Ajakwe; Vivian Ukamaka Ihekoronye; Golam Mohtasin; Rubina Akter; Ali Aouto; Dong Seong Kim; Jae Min Lee },
publisher = {IEEE Dataport},
title = {VisioDECT Dataset: An Aerial Dataset for Scenario-Based Multi-Drone Detection and Identification},
year = {2022} }
TY - DATA
T1 - VisioDECT Dataset: An Aerial Dataset for Scenario-Based Multi-Drone Detection and Identification
AU - Simeon Okechukwu Ajakwe; Vivian Ukamaka Ihekoronye; Golam Mohtasin; Rubina Akter; Ali Aouto; Dong Seong Kim; Jae Min Lee
PY - 2022
PB - IEEE Dataport
UR - 10.21227/n27q-7e06
ER -
Simeon Okechukwu Ajakwe, Vivian Ukamaka Ihekoronye, Golam Mohtasin, Rubina Akter, Ali Aouto, Dong Seong Kim, Jae Min Lee. (2022). VisioDECT Dataset: An Aerial Dataset for Scenario-Based Multi-Drone Detection and Identification. IEEE Dataport. http://dx.doi.org/10.21227/n27q-7e06
Simeon Okechukwu Ajakwe, Vivian Ukamaka Ihekoronye, Golam Mohtasin, Rubina Akter, Ali Aouto, Dong Seong Kim, Jae Min Lee, 2022. VisioDECT Dataset: An Aerial Dataset for Scenario-Based Multi-Drone Detection and Identification. Available at: http://dx.doi.org/10.21227/n27q-7e06.
Simeon Okechukwu Ajakwe, Vivian Ukamaka Ihekoronye, Golam Mohtasin, Rubina Akter, Ali Aouto, Dong Seong Kim, Jae Min Lee. (2022). "VisioDECT Dataset: An Aerial Dataset for Scenario-Based Multi-Drone Detection and Identification." Web.
1. Simeon Okechukwu Ajakwe, Vivian Ukamaka Ihekoronye, Golam Mohtasin, Rubina Akter, Ali Aouto, Dong Seong Kim, Jae Min Lee. VisioDECT Dataset: An Aerial Dataset for Scenario-Based Multi-Drone Detection and Identification [Internet]. IEEE Dataport; 2022. Available from : http://dx.doi.org/10.21227/n27q-7e06
Simeon Okechukwu Ajakwe, Vivian Ukamaka Ihekoronye, Golam Mohtasin, Rubina Akter, Ali Aouto, Dong Seong Kim, Jae Min Lee. "VisioDECT Dataset: An Aerial Dataset for Scenario-Based Multi-Drone Detection and Identification." doi: 10.21227/n27q-7e06