The model identifies clouds from ground-based images of the sky.
This is a simple feedforward neural network for image classification.
The model was trained on an open dataset provided by
Liu, Pu (2019), first used by
Zhang et. al (2018)The model is intended to classify ground-based photos of the sky containing clouds. These photos should be taken during the day, with the sun providing sufficient lighting.
The model will not work well with satellite-based imagery. The model will probably not work well with nighttime photos as the lighting is sufficiently distinct.
See
https://huggingface.co/datasets/aduuuuuu/CCSN. This is a collection of 2,543 ground-based images of the sky. Photos are 400x400 although some are 256x256. These smaller images are upscaled. All images are converted to greyscale.
