GinJinn: An object‐detection pipeline for automated feature extraction from herbarium specimens

A new fine‐grained method for automated visual analysis of herbarium specimens: A case study for phenological data extraction

(2020) Hervé Goëau et al.   Applications in Plant Sciences

LeafMachine: Using machine learning to automate leaf trait extraction from digitized herbarium specimens

(2020) William N. Weaver et al.   Applications in Plant Sciences

Generating segmentation masks of herbarium specimens and a data set for training segmentation models using deep learning

(2020) Alexander E. White et al.   Applications in Plant Sciences

Toward a large‐scale and deep phenological stage annotation of herbarium specimens: Case studies from temperate, tropical, and equatorial floras

(2019) Titouan Lorieul et al.   Applications in Plant Sciences

Morphological Analysis of Size and Shape ( MASS ): An integrative software program for morphometric analyses of leaves

(2019) Tya S. Chuanromanee et al.   Applications in Plant Sciences

Taxon and trait recognition from digitized herbarium specimens using deep convolutional neural networks

(2018) Sohaib Younis et al.   Botany Letters

Deep Plant Phenomics: A Deep Learning Platform for Complex Plant Phenotyping Tasks

(2017) Jordan R. Ubbens et al.   Frontiers in Plant Science

Computer vision applied to herbarium specimens of German trees: testing the future utility of the millions of herbarium specimen images for automated identification

(2016) Jakob Unger et al.   BMC EVOLUTIONARY BIOLOGY

A Novel Method of Automatic Plant Species Identification Using Sparse Representation of Leaf Tooth Features

(2015) Taisong Jin et al.   PLoS One

Momocs: Outline Analysis UsingR

(2015) Vincent Bonhomme et al.   Journal of Statistical Software

Automating Digital Leaf Measurement: The Tooth, the Whole Tooth, and Nothing but the Tooth

(2012) David P. A. Corney et al.   PLoS One

The Pascal Visual Object Classes (VOC) Challenge

(2009) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Sensitivity of leaf size and shape to climate withinAcer rubrumandQuercus kelloggii

(2008) Dana L. Royer et al.   NEW PHYTOLOGIST