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Real Rain Dataset

Large-scale dataset of rain/rain-free image pairs

Real Rain Dataset

We propose a semi-automatic method that incorporates temporal priors and human supervision to generate a high-quality clean image from each input sequence of real rain images. Using this method, we construct a large-scale dataset of ∼29.5K rain/rain-free image pairs that cover a wide range of natural rain scenes.

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The Chinese University of Hong Kong
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Task
Image Classification
Annotation Types
Classification Tags
295000
Items
2
Classes
295000
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
CC-BY-NC-SA