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A Public Image Database for Benchmark of Plant Seedling Classification Algorithms

Authors :
Giselsson, Thomas Mosgaard
Jørgensen, Rasmus Nyholm
Jensen, Peter Kryger
Dyrmann, Mads
Midtiby, Henrik Skov
Publication Year :
2017

Abstract

A database of images of approximately 960 unique plants belonging to 12 species at several growth stages is made publicly available. It comprises annotated RGB images with a physical resolution of roughly 10 pixels per mm. To standardise the evaluation of classification results obtained with the database, a benchmark based on $f_{1}$ scores is proposed. The dataset is available at https://vision.eng.au.dk/plant-seedlings-dataset

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1711.05458
Document Type :
Working Paper