Singapore Whole sky IMaging SEGmentation Database (SWIMSEG) [1]
- 1013 sky images
- 600 x 600 pixels
- Captured by ground-based sky imager WAHRSIS (Wide Angle High Resolution Sky Imaging System)
- Corresponding ground truth masks were created in consultation with cloud experts from the Singapore Meteorological Services
Figure 1: Sample Images from SWIMSEG
| Sky Image | Ground Truth |
|---|---|
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Singapore Whole sky IMaging CATegories Database (SWIMCAT) [2]
- 784 images broken into 5 categories: clear sky, veil clouds, patterned clouds, thick dark (night), and thick white (day)
- 125 x 125 pixels
- Images categorized by visual features in consultation with Singapore Meteorological Services
- For this project, the night time images (thick dark) were discarded in favor of the remaing 533 involving sunlight
Figure 2: Sample Images from SWIMCAT
| Sky Image | SWIMCAT Classification |
|---|---|
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Clear Sky |
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Patterned Cloud |
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Thick Cloud |
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Veil Cloud |
References
- Dev, Soumyabrata, et al. “Color-Based Segmentation of Sky/Cloud Images From Ground-Based Cameras.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 1, 12 June 2016, pp. 231–242.
- S. Dev, Y. H. Lee, S. Winkler. Categorization of cloud image patches using an improved texton-based approach. Proc. IEEE International Conference on Image Processing (ICIP), Québec City, Canada, Sep. 27-30, 2015.