dblasko/mirnet-low-light-img-enhancement
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End of preview. Expand
in Dataset Viewer.
The LOL dataset is composed of 500 low-light and normal-light image pairs and is 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. The dataset was introduced in the paper Deep Retinex Decomposition for Low-Light Enhancement.
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Size of downloaded dataset files:
347 MB
Size of the auto-converted Parquet files:
314 MB
Number of rows:
1,000
Models trained or fine-tuned on geekyrakshit/LoL-Dataset