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Replication Data for: Transferability of a Mask R-CNN model for the delineation and classification of two species of regenerating tree crowns to untrained sites Chadwick, Andrew

Description

This dataset contains image and label pairs used to train a Mask R-CNN model to delineate and classify individual regenerating tree crowns as well as code to replicate experiments from the associated publication, titled "Transferability of a Mask R-CNN model for the delineation and classification of two species of regenerating tree crowns to untrained sites".

Item Metadata

Title
Replication Data for: Transferability of a Mask R-CNN model for the delineation and classification of two species of regenerating tree crowns to untrained sites
Creator
Chadwick, Andrew
Contributor
Chadwick, Andrew
Date Issued
2023-10-13
Description
This dataset contains image and label pairs used to train a Mask R-CNN model to delineate and classify individual regenerating tree crowns as well as code to replicate experiments from the associated publication, titled "Transferability of a Mask R-CNN model for the delineation and classification of two species of regenerating tree crowns to untrained sites".
Subject
Earth and Environmental Sciences; Imagery and Annotation; Individual Tree Crown; Mask R-CNN; Instance Segmentation
Type
Dataset
Date Available
2023-10-12
Provider
University of British Columbia Library
License
CC-BY 4.0
DOI
10.14288/1.0437151
URI
https://doi.org/10.5683/SP3/K1ZTZO
Publisher DOI
https://doi.org/10.5683/SP3/K1ZTZO
Rights URI
http://creativecommons.org/licenses/by/4.0
Aggregated Source Repository
Dataverse

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License

CC-BY 4.0