The project is focused on identification windfalls by cosmic snapshots using convolutional neural networks.
As it yields from the preliminary study, it is very important to pass images of ultra high resolution to get desired results and accuracy of windfalls identification.
The project utilizes Python-based computational environment and uses Keras and Tensorflow to build and train a CNN.