Data for: Habitat-Net: Segmentation of habitat images using deep learning

Name: Data for: Habitat-Net: Segmentation of habitat images using deep learning
Creator: Jesse F. Abrams
Published: 2019-03-21T06:20:19.043Z
Keywords: Natural Sciences, Ecology, Forestry, Machine Learning

Abrams, Jesse F.; Wieser, Sebastian; Mohamed, Azlan; Nguyen, An; Wong, Seth; Mukhopadhyay, Anirban; Kuijper, Arjan; Vashishtha, Anand; Wilting, Andreas

doi:10.17632/9s9s75xw77.1

Data for: Habitat-Net: Segmentation of habitat images using deep learning

Published: 21 March 2019| Version 1 | DOI: 10.17632/9s9s75xw77.1

Contributors:

Jesse F. Abrams, Sebastian Wieser, Azlan Mohamed, An Nguyen, Seth Wong, Anirban Mukhopadhyay, Arjan Kuijper, Anand Vashishtha, Andreas Wilting

Description

Training data and test data for Habitat-Net. Test data results for segmentation or canopy and understory images processed: (1) manually by two observers, (2) using a simple thresholding script in python, (3) using U-Net, and (4) using Habitat-Net.

Data for: Habitat-Net: Segmentation of habitat images using deep learning

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