DOGFIGHT UAV Detection Computer Vision Project
Afif Mazlin
Updated 9 months ago
Description
This project are focus on developing a very high perforamance and fast tracking drone and UAVs. This project will only have one class which is UAV. It consist different types of UAV/Drone and aircraft in a single class to reduce computing power and enhaced the detection performance.
Below are the objectives that I inteded to acheive:
- To detect and lock a UAVs or Drones in real-time application
- To as "Vision-Based Radar" in UAV, Drones or fighter aircraft
- To deploy in very limited computing devices such as Raspberry Pi and Jetson Nano Microcomputer
- To develope and algorithm utilizing a computer vision (Yolo) input for UAV/Drone manouver
Yolo version to be trained on:
- Yolov5s
- Yolov4-tiny
- Yolov7-tiny
"Wish me luck" -Afif Mazlin
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Cite This Project
LICENSE
CC BY 4.0 If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
dogfight-uav-detection_dataset,
title = { DOGFIGHT UAV Detection Dataset },
type = { Open Source Dataset },
author = { Afif Mazlin },
howpublished = { \url{ https://universe.roboflow.com/afif-mazlin/dogfight-uav-detection } },
url = { https://universe.roboflow.com/afif-mazlin/dogfight-uav-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { jan },
note = { visited on 2024-09-29 },
}