Citrine: Deep Learning Micrograph Converter

Ingester Description
Uses deep neural networks to featurize SEM images based on the textures present in each image.  Files should be uploaded as a tar file including a CSV in CSV Template format along with image files.  The CSV file should have a column with header “Imagefile: SEM” whose entries are the image filenames.
Description of accepted files (.tar)
Files should be uploaded as a tar file including a CSV in CSV Template format along with image files.  The CSV file should have a column with header “Imagefile: SEM” whose entries are the image filenames.

.tar, .tgz for tarred file .csv for the csv file .jpg, .png, .tif for the image files

Example file
To download an example file for the deep learning micrograph ingester, click here.

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