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ZENODO
Model . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Model . 2023
License: CC BY
Data sources: Datacite
ZENODO
Model . 2023
License: CC BY
Data sources: Datacite
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Documents related to Loess Landslide Detector

Authors: Ji, Qingyun;

Documents related to Loess Landslide Detector

Abstract

1. Please install the required environment to run the YOLO model, there is a detailed tutorial in the Ultralytics project file package. 2. Please clone the YOLO model in the cloud or your local project, according to the tutorial given by Ultralytics. 3. After debugging the model, replace Common.py, yolo.py, loess landslide.yaml with the corresponding files in the project, and change the path of train.py or detect.py to run it.

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    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.
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    influence
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citations
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average