Experimental fluvial-deltaic stratigraphic patches for machine learning applications

<p>Collection of 6,132 images&nbsp;(128 x&nbsp;128 pixels) cropped from experimental stratigraphy produced in the Tulane Delta Basin, TDB-10-1, under temporally constant boundary conditions. The images are prepared to be used in a machine learning project.</p> <p>Each image is prefixed with a number [0-5] which indicates the strike section the image was selected from. The cropped strike sections are obtained from the archival dataset located on SEN:&nbsp;<a href="http://sedexp.net/catalog/tdb-10-1-tulane-delta-basin">http://sedexp.net/catalog/tdb-10-1-tulane-delta-basin</a>.</p> <p>After cropping from the strike sections, each image was processed with binarization and a sequence of morphological opening and closing operations. The code that did the processing can be obtained at&nbsp;<a href="https://github.com/amoodie/StratGAN/blob/master/process_images/nrand_process.py">https://github.com/amoodie/StratGAN/blob/master/process_images/nrand_process.py</a>.</p> <p>This data was produced as part of a larger project:&nbsp;<a href="https://github.com/amoodie/StratGAN">https://github.com/amoodie/StratGAN</a></p>