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T1  - INTEL-TAU: A Color Constancy Dataset 
SN  -  / 2169-3536 
UR  - http://hdl.handle.net/10138/334920 
T3  - IEEE Access 9, 39560-39567 
A1  - Laakom, Firas; Raitoharju, Jenni; Nikkanen, Jarno; Iosifidis, Alexandros; Gabbouj, Moncef 
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PB  - IEEE 
Y1  - 2021 
LA  - en 
AB  - In this paper, we describe a new large dataset for illumination estimation. This dataset, called INTEL-TAU, contains 7022 images in total, which makes it the largest available high-resolution dataset for illumination estimation research. The variety of scenes captured using three different camera models, namely Canon 5DSR, Nikon D810, and Sony IMX135, makes the dataset appropriate for evaluating the camera and scene invariance of the different illumination estimation techniques. Privacy masking ... 
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KW  - image color analysis; lightning; cameras; estimation; databases; training; privacy; benchmarking; menetelmät; vertailu; analyysi; värit; kamerat; tiedostot; arviointi; valokuvat; valaistus 
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