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DrIFT

DrIFT: Autonomous Drone Dataset with Integrated Real and Synthetic Data, Flexible Views, and Transformed Domains

Samples:

Shots1 Shots2 Shots3 Shots4

Architecture:

Architecture

SKY Background:

Output1

Tree Background:

Output2

Ground Background:

Output3

News

  • [Apr 2025] The agreement requirement has been released, and you can download it from 🤗 directly.
  • [Dec 2024] The real part of our dataset is in the pipeline and will be online soon.
  • [Dec 2024] We have uploaded our dataset V1 (synthetic part) on 🤗.
  • [Dec 2024] The arXiv version of the paper has been submitted.
  • [Oct 2024] Our paper was accepted at IEEE/CVF WACV 2025.

How to download the dataset?

The agreement requirement has been released, and you can download it from 🤗 directly.

Please download, fill, and sign the agreement and send it to fardad.dadboud@uottawa.ca (please include "DrIFT_download" as the subject of your email). After that, we will pass you permission for the downloading of the dataset from 🤗.

Citation

@inproceedings{dadboud2025drift,
  title={DrIFT: Autonomous Drone Dataset with Integrated Real and Synthetic Data, Flexible Views, and Transformed Domains},
  author={Dadboud, Fardad and Azad, Hamid and Mehta, Varun and Bolic, Miodrag and Mantegh, Iraj},
  booktitle={2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
  pages={6900--6910},
  year={2025},
  organization={IEEE}
}

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Visual Drone Detection Dataset for Comprehensive Study of Domain shift

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