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These data are part of a project to detect relict charcoal hearths (RCH) in landscape images using Mask R-CNN, a deep learning library based on Keras and Tensorflow. This is a collection of xml files that contain pixel coordinates of the locations of predicted RCHs on images. These files are similar to the training annotations. For additional information, please see https://zenodo.org/record/4766351
Relict Charcoal Hearth, RCH, Mask R-CNN, Pennsylvania, Digital Elevation Model, Iron Production, Deep Learning, Slope Analysis, lidar
Relict Charcoal Hearth, RCH, Mask R-CNN, Pennsylvania, Digital Elevation Model, Iron Production, Deep Learning, Slope Analysis, lidar
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 1 |

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