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Augmented Training Data of H:Si(100)
datasetposted on 10.09.2019 by Oliver Gordon, Philip Moriarty
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
This dataset contains images of the H:Si(100) surface, taken over several years on a Scienta Omicron Variable Temperature STM based at the University of Nottingham, UK.
These images were converted from their proprietary z_mtrx format from scan sizes up to 512x512 resolution, and classified into six categories by hand. They were then augmented with randomly with crops, pans, zooms, rotations and random amounts of random noise, scaling down to 128x128.