Published November 10, 2022
| Version 1
Dataset
Open
Supporting Data -- Evaluating Mask R-CNN Models to Extract Terracing across Oceanic High Islands: an example from Sāmoa.
Authors/Creators
- 1. University of Hawai'i at Manoa
- 2. Columbia University
- 3. University of Auckland
Description
This dataset provides supplemental information for the manuscript, "Diverse terracing practices revealed by automated lidar analysis across the Sāmoan islands", submitted to Archaeological Prospection. The dataset contains a trained Mask R-CNN deep learning model designed for detecting archaeological terracing features on the islands of American Samoa, associated training data, and the raw and cleaned output of detected terraces.
Files
Raw_Terrace_Detections.zip
Files
(1.4 GB)
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md5:0c01aec1b3d0a97c29488edf5caa76be
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md5:0fa9bbdee3e572b510626302ab571360
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Additional details
Related works
- Is supplement to
- Journal article: 10.1002/arp.1909 (DOI)