Training Data and Trained Convolutional Neural Network Model for "A 3.3-Million-Year Record of Antarctic Iceberg Rafted Debris and Ice Sheet Evolution Quantified by Machine Learning" ...
Here you will find the training data and the trained convolutional neural network model used in "A 3.3-Million-Year Record of Antarctic Iceberg Rafted Debris and Ice Sheet Evolution Quantified by Machine Learning" The contents are as follows: 04_63_epoch_8639-43402.h5 is the trained convol...
| Main Author: | |
|---|---|
| Format: | Article in Journal/Newspaper |
| Language: | unknown |
| Published: |
Zenodo
2024
|
| Subjects: | |
| Online Access: | https://dx.doi.org/10.5281/zenodo.13333688 https://zenodo.org/doi/10.5281/zenodo.13333688 |
| Summary: | Here you will find the training data and the trained convolutional neural network model used in "A 3.3-Million-Year Record of Antarctic Iceberg Rafted Debris and Ice Sheet Evolution Quantified by Machine Learning" The contents are as follows: 04_63_epoch_8639-43402.h5 is the trained convolutional neural network that was used to identify and quantify IRD in this study RAW IMAGES.zip are all of the raw X-ray images used as training data TAGGED.zip are all of the IRD-labeled files associated with the raw images X_RAW IMAGES.zip are all of the "special target" non-IRD raw X-ray images used to target confounding non-IRD features X_TAGGED.zip are all of the labeled files associated with X_RAW IMAGES.zip ... |
|---|