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Visual Drone Detection Dataset for Comprehensive Study of Domain shift

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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

  • [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?

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

@misc{dadboud2024driftautonomousdronedataset,
      title={DrIFT: Autonomous Drone Dataset with Integrated Real and Synthetic Data, Flexible Views, and Transformed Domains}, 
      author={Fardad Dadboud and Hamid Azad and Varun Mehta and Miodrag Bolic and Iraj Mantegh},
      year={2024},
      eprint={2412.04789},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2412.04789}, 
}

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Visual Drone Detection Dataset for Comprehensive Study of Domain shift

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