A Public Image Database for Benchmark of Plant Seedling Classification Algorithms

2017/11/15 by Thomas Mosgaard Giselsson, Rasmus Nyholm Jørgensen, Giselsson, Thomas Mosgaard +7 · 5 citations
Agricultural and Biological Sciences · Environmental Science · #Smart Agriculture and AI #Remote Sensing in Agriculture #Remote Sensing and LiDAR Applications

paper · pdf · doi:10.48550/arxiv.1711.05458

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

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