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.

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Categories

Natural Sciences, Ecology, Forestry, Machine Learning

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