Published February 28, 2023
| Version v1
Dataset
Open
Synthetically generated clouds on ground-based solar observations
Authors/Creators
- 1. Université de Toulon, Aix Marseille Univ, CNRS, LIS, Marseille, France
- 2. Observatoire de Paris/PSL, Paris, France
Description
A dataset consisting of Ca II & H-alpha images taken at the Paris Meudon Observatory. Synthetically generated cloud coverage has been applied to clean images, thereby creating an (cloudy, clean) pair--facilitating the training of cloud-removal algorithms.
The Ca-II and H-α synthetic dataset comprise respectively 319 and 367 pairs of shadow/shadow-free images, split into 223/96 and 256/111 training/testing pairs.
A PyTorch dataset has been created that handles the download, importing, and usage of this dataset. You can find this code at the github repository: https://github.com/jaypmorgan/cloud-removal