End-to-end deep learning pipeline for on-board extraterrestrial rock segmentation

Code for the paper "Towards on-board extraterrestrial rock segmentation using deep learning" by Daniel Marek and Jakub Nalepa.

The Training-Pipeline file containes all the code for training and evaluating models on the Aritifical Lunar Landscape Dataset.

The Mars-Data-Exploration file contains the code for processing and running the previously prepared models.

Name		Name	Last commit message	Last commit date
deep model architectures		deep model architectures
detailed experimental results		detailed experimental results
Katwijk-Data-Exploration.ipynb		Katwijk-Data-Exploration.ipynb
Katwijk-Data-Exploration.py		Katwijk-Data-Exploration.py
LICENSE		LICENSE
Mars-Data-Exploration.ipynb		Mars-Data-Exploration.ipynb
Mars-Data-Exploration.py		Mars-Data-Exploration.py
README.md		README.md
Resyris-Data-Exploration.ipynb		Resyris-Data-Exploration.ipynb
Resyris-Data-Exploration.py		Resyris-Data-Exploration.py
TrainingPipeline.ipynb		TrainingPipeline.ipynb
TrainingPipeline.py		TrainingPipeline.py

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