Naslov
Shadows & Lumination: Two-illuminant multiple cameras color constancy dataset

Autori
Domislović, Ilija ; Vršnak, Donik ; Subašić, Marko ; Lončarić, Sven

Izvornik
Expert systems with applications (0957-4174) 224 (2023); 120045, 9

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
multi-illuminant dataset ; color constancy ; image color analysis ; image processing ; image segmentation

Sažetak
In this paper, we introduce a new large-scale publicly available color constancy dataset which we are calling the Shadows & Lumination dataset. The dataset contains 2500 minimally processed images from various indoor, outdoor, and night-time scenes. This dataset is GDPR-compliant, as we masked out all sensitive private information from the images. Unlike most other color constancy datasets, our dataset contains real-world images with two illuminants is appropriate for multi-illuminant estimation. In addition to the illumination, we provide a binary segmentation mask for each image. In the segmentation mask, we divide the image into two regions, where each region is illuminated by only one of the illuminants. We give an explanation of the methodology used to create the dataset. For dataset creation, we used five cameras: Canon 5D, Canon 550D, Sony α300, Panasonic FZ1000, and the Motorola one fusion+ mobile camera. Finally, we tested several state-of-the-art illumination estimation and image segmentation models on our dataset. The dataset is publicly available11bit.ly/shal_dataset Direct link.. This paper also benchmarks several illumination estimation methods as well as several image segmentation methods on our dataset.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

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