LOL (LOw-Light dataset)
Introduced by Wei et al. in Deep Retinex Decomposition for Low-Light Enhancement
The LOL dataset is composed of 500 low-light and normal-light image pairs and divided into 485 training pairs and 15 testing pairs. The low-light images contain noise produced during the photo capture process. Most of the images are indoor scenes. All the images have a resolution of 400×600.
Source: Unsupervised Real-world Low-light Image Enhancement with Decoupled Networks
Papers
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