SoftwareApplication
name: CODaN
description: CODaN: Common Objects Day and Night, an image classification dataset.
description: Common Objects Day and Night (CODaN) is an image classification dataset for zero-shot day-night domain adaptation / generalization. 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. The dataset is collected from the excellent COCO, ImageNet and ExDark 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.
code repository: https://data.4tu.nl/v3/datasets/96065c4f-3aca-4c60-897e-16c7f6a23530.git
author: https://orcid.org/0000-0002-2982-2003
author: https://orcid.org/0000-0001-6068-3307
author: https://orcid.org/0000-0002-5162-1793
author: https://orcid.org/0000-0002-6913-0482
keywords: domain adaptation
keywords: image classification
keywords: day-night
keywords: computer vision
keywords: color invariants
programming language: Markdown
programming language: Other
programming language: Python
license:
  creative work: creativeWork
    name: MIT
reference publication: iccv48922.2021.00436

https://orcid.org/0000-0002-2982-2003
type: Person
given name: Attila
family name: Lengyel
name: Attila Lengyel

https://orcid.org/0000-0001-6068-3307
type: Person
given name: Sourav
family name: Garg
name: Sourav Garg

https://orcid.org/0000-0002-5162-1793
type: Person
given name: Michael
family name: Milford
name: Michael Milford

https://orcid.org/0000-0002-6913-0482
type: Person
given name: Jan
family name: van Gemert
name: Jan van Gemert

iccv48922.2021.00436
type: ScholarlyArticle
name: Zero-Shot Day-Night Domain Adaptation with a Physics Prior
pagination: 4379-4389
url: https://doi.org/10.1109%2Ficcv48922.2021.00436