UAV Vision-Based Radar Computer Vision Project

Afif Mazlin

Updated 4 months ago

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Description

The aim of this project to develope a Yolo model that capable of detect and tracking obstacle for Drone/UAVs application. It only has one class which is "Obstacle". It consists everthing that the Drone/UAV expected to face at targeted test location.

There are three test environment that I want to test it in, include:

Urban area and city center, with multiple object to be detect and track
Jungle or forest, with main goal is for the drone to navigate itself through the trees and bushes
Random location, daily environment such as park and recreation center

Yolo version to be trained on:

Yolov5s
Yolov4-tiny
Yolov7-tiny

"Wish me luck" -Afif Mazlin

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LICENSE

CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            uav-vision-based-radar_dataset,
                            title = { UAV Vision-Based Radar Dataset },
                            type = { Open Source Dataset },
                            author = { Afif Mazlin },
                            howpublished = { \url{ https://universe.roboflow.com/afif-mazlin/uav-vision-based-radar } },
                            url = { https://universe.roboflow.com/afif-mazlin/uav-vision-based-radar },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { may },
                            note = { visited on 2024-09-25 },
                            }