English

A Public Image Database for Benchmark of Plant Seedling Classification Algorithms

Computer Vision and Pattern Recognition 2017-11-16 v1

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 f1f_{1} scores is proposed. The dataset is available at https://vision.eng.au.dk/plant-seedlings-dataset

Keywords

Cite

@article{arxiv.1711.05458,
  title  = {A Public Image Database for Benchmark of Plant Seedling Classification Algorithms},
  author = {Thomas Mosgaard Giselsson and Rasmus Nyholm Jørgensen and Peter Kryger Jensen and Mads Dyrmann and Henrik Skov Midtiby},
  journal= {arXiv preprint arXiv:1711.05458},
  year   = {2017}
}
R2 v1 2026-06-22T22:46:31.129Z