CODaN: Common Objects Day and Night, an image classification dataset.
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.
Zero-Shot Day-Night Domain Adaptation with a Physics Prior