cff-version: 1.2.0
abstract: "<p>Common Objects Day and Night (CODaN) is an image classification dataset for zero-shot day-night domain adaptation / generalization.</p><p><br></p><p>The CODaN dataset consists of 15,500 224x224 colour images in 10 classes, with 1,550 images per class. There are 10,000 training images, 500 validation images, 2,500 daytime test images and 2,500 nighttime test images.</p><p><br></p><p>The dataset is collected from the excellent&nbsp;<a href="https://cocodataset.org/#home" target="_blank" style="color: rgb(31, 35, 40);">COCO</a>,&nbsp;<a href="http://imagenet.stanford.edu/" target="_blank" style="color: rgb(31, 35, 40);">ImageNet</a>&nbsp;and&nbsp;<a href="https://github.com/cs-chan/Exclusively-Dark-Image-Dataset" target="_blank" style="color: rgb(31, 35, 40);">ExDark</a>&nbsp;datasets. All images are filtered and cropped such that they have the same dimensions and are completely mutually exclusive, i.e. do not contain objects of different classes, nor do belong objects to multiple classes.</p>"
authors:
  - family-names: Lengyel
    given-names: Attila
    orcid: "https://orcid.org/0000-0002-2982-2003"
  - family-names: Garg
    given-names: Sourav
    orcid: "https://orcid.org/0000-0001-6068-3307"
  - family-names: Milford
    given-names: Michael
    orcid: "https://orcid.org/0000-0002-5162-1793"
  - family-names: van Gemert
    given-names: Jan
    orcid: "https://orcid.org/0000-0002-6913-0482"
title: "CODaN: Common Objects Day and Night, an image classification dataset."
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/05246b12-f291-460c-be8a-f14a89d249e5.v1
license: MIT
date-released: 2023-11-29