{"url":"/dataset/plant-centroids","name":"Plant Centroids","full_name":"Plant Centroids","description_markdown":"**Plant Centroids** is a dataset for stem emerging points (SEP) detection in RGB and NIR image data. The dataset is meant to aid the construction of agricultural robots, where detecting SEPs is an important perception task (to position weeding or fertilizing tools at the plant’s center and finding natural landmarks in the field environment). The dataset contains annotations for ~2000 image sets with a broad variance of plant species and growth stages.\n\nSource: [http://plantcentroids.cs.uni-freiburg.de/](http://plantcentroids.cs.uni-freiburg.de/)\nImage Source: [http://plantcentroids.cs.uni-freiburg.de/](http://plantcentroids.cs.uni-freiburg.de/)","description_withheld":null,"homepage":"http://plantcentroids.cs.uni-freiburg.de/","introduced_date":"2017-01-01","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[],"languages":[],"variants":["Plant Centroids"],"data_loaders":[],"num_papers_in_archive":0,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}