Papers › A Public Image Database for Benchmark of Plant Seedling Classification Algorithms

A Public Image Database for Benchmark of Plant Seedling Classification Algorithms

15 Nov 2017arXiv:1711.05458archive 2025-07-28

Thomas Mosgaard Giselsson, Rasmus Nyholm Jørgensen, Peter Kryger Jensen, Mads Dyrmann, Henrik Skov Midtiby

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 f₁ scores is proposed. The dataset is available at https://vision.eng.au.dk/plant-seedlings-dataset

PaperPDFCode

Code

adines/semicompact mentioned on GitHubpytorch report
vbookshelf/Weed-Detector mentioned on GitHubtf report

Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.

Code Syntology ran Syntology

Not run by Syntology. Nothing on this page verifies that the listed code works.

Tasks

General Classification

Datasets

Introduced by this paper, per the archive.

Plant Seedlings Dataset

Results from the paper archive 2025-07-28

No leaderboard rows for this paper in the archive.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections