**Camera Images Ceiling and Visibility (CICV) database**

The purpose of this database is to be able to provide a constant, real-time/up-to-date set of data points which will then be used to train a Machine Learning (ML) algorithm that can produce it's own real-time cloud ceiling data along with the ability to forecast ceiling heights.

Documentation and information is provided below; related to the collection of Camera Images and Ceiling (CIC) data and creation of a database for a ML algorithm which will be trained on the combined data from three types of data sites within a given geographical area available for the public:

  - Surface CAM images (by extracting images and features from CAM imagery such as weather cameras, road cameras, etc), 
  - Ceilometers (by processing data and numbers from METAR, ASOS, AWOS, etc)

[[Methods]]

[[Public Ceiling and Visibility Datasets]]

[[Public Camera Image Sets]]