Article

MultiSpecies Canopy Segmentation: Interactive Machine-Learning and Pseudo-Labelling are key

2025-12-10

Abstract excerpt

This study investigates the challenge of creating datasets for training multiclass deep-learning segmentation models, specifically for segmenting multi-species canopy images. Creating training sets for deep-learning based segmentation of multispecies canopies is currently too labor-intensive and time-consuming to be viable. To address this challenge, we propose a novel pipeline that uses fully convolutional neural...

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Literature Corpus work: f41cc3da-1859-54ca-9c16-f1d45c39f1c7
DOI: 10.64898/2025.12.07.692840

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