Roboflow Universe Afif Mazlin DOGFIGHT UAV Detection

DOGFIGHT UAV Detection Computer Vision Project

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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

Cite This Project

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 2024-06-28 },
                            }