publication . Other literature type . Article . 2018

Deepmoon Supplemental Materials

Silburt, Ari; Ali-Dib, Mohamad; Zhu, Chenchong; Jackson, Alan; Menou, Kristen;
Open Access English
  • Published: 31 Jan 2018
  • Publisher: Zenodo
This database contains supplemental materials to the journal article, "Lunar Crater Identification via Deep Learning", which trained a convolutional neural network (convnet) to automate the identification of lunar craters. The database is meant to enable users to reproduce our work, or apply our model and data to new applications. For more information about the project please see the associated journal article. For the code, DeepMoon, and instructions on how to use the files in this database, see the GitHub link below. For a brief description of each file in this database, see the file list below. Code<br> --------<br> DeepMoon is available at
free text keywords: machine learning, neural network, convolutional neural network, astronomy, craters, moon, computer vision, deep learning
Download fromView all 3 versions
Other literature type . 2018
Provider: Datacite
Other literature type . 2018
Provider: Datacite
Article . 2018
Provider: ZENODO
Any information missing or wrong?Report an Issue