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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 file contains all of the images representing tiles of lidar images of state game lands. These images are used for predictions to locate RCHs. A subset is used for training. 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). | 1 | |
| 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 |
| views | 3 |

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