Citrine: Deep Learning Micrograph Converter
Ingester Description |
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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) |
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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 |
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To download an example file for the deep learning micrograph ingester, click here. |