VisDrone-dataset-python-toolkit/CITATION.cff at b05f970ae025de069d1732a73b9b73def04f0f69 · dronefreak/VisDrone-dataset-python-toolkit · GitHub

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cff-version: 1.2.0
message: "If you use this toolkit in your research, please cite it as below."
type: software
title: "VisDrone Detection Toolkit: Modern PyTorch Implementation for Aerial Object Detection"
version: 2.0.0
date-released: 2025-01-15
authors:
  - family-names: "Saksena"
    given-names: "Saumya Kumaar"
    orcid: "https://orcid.org/0000-0003-2213-8265"
repository-code: "https://github.com/dronefreak/VisDrone-dataset-python-toolkit"
url: "https://github.com/dronefreak/VisDrone-dataset-python-toolkit"
abstract: >-
  Modern PyTorch toolkit for the VisDrone aerial object detection dataset
  featuring production-ready training pipelines, real-time inference, and
  format converters. Implements state-of-the-art detection models (Faster R-CNN,
  FCOS, RetinaNet) with mixed precision training, rich progress tracking, and
  optimizations for small object detection in drone imagery. Achieves 13.8% F1
  improvement over baseline through multi-scale training, data augmentation,
  and custom anchor configurations optimized for aerial detection scenarios.
keywords:
  - object-detection
  - computer-vision
  - pytorch
  - drone
  - aerial-imagery
  - faster-rcnn
  - deep-learning
  - visdrone
  - torchvision
  - small-object-detection
  - aerial-detection
license: Apache-2.0
preferred-citation:
  type: software
  title: "VisDrone Detection Toolkit: Modern PyTorch Implementation for Aerial Object Detection"
  authors:
    - family-names: "Saksena"
      given-names: "Saumya Kumaar"
  year: 2025
  url: "https://github.com/dronefreak/VisDrone-dataset-python-toolkit"
  version: 2.0.0
references:
  - type: article
    title: "Vision Meets Drones: A Challenge"
    authors:
      - family-names: "Zhu"
        given-names: "Pengfei"
      - family-names: "Wen"
        given-names: "Longyin"
      - family-names: "Bian"
        given-names: "Xiao"
      - family-names: "Ling"
        given-names: "Haibin"
      - family-names: "Hu"
        given-names: "Qinghua"
    journal: "arXiv preprint arXiv:1804.07437"
    year: 2018
    url: "https://arxiv.org/abs/1804.07437"