  High Definition (HD) digital photos taken with drones are widely used in the
study of Geoscience. However, blurry images are often taken in collected data,
and it takes a lot of time and effort to distinguish clear images from blurry
ones. In this work, we apply Machine learning techniques, such as Support
Vector Machine (SVM) and Neural Network (NN) to classify HD images in
Geoscience as clear and blurry, and therefore automate data cleaning in
Geoscience. We compare the results of classification based on features
abstracted from several mathematical models. Some of the implementation of our
machine learning tool is freely available at:
https://github.com/zachgolden/geoai.
