Datasets:
metadata
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': black_grass
'1': charlock
'2': cleavers
'3': common_chickweed
'4': common_wheat
'5': fat_hen
'6': loose_silkybent
'7': maize
'8': scentless_mayweed
'9': shepherds_purse
'10': smallflowered_cranesbill
'11': sugar_beet
splits:
- name: train
num_bytes: 1082442227
num_examples: 5539
download_size: 1714447922
dataset_size: 1082442227
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-sa-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
Plant Seedlings Aarhus
A dataset for image classification of plant seedlings. The dataset contains 5,539 images across 12 classes: black_grass, charlock, cleavers, common_chickweed, common_wheat, fat_hen, loose_silkybent, maize, scentless_mayweed, shepherds_purse, smallflowered_cranesbill, sugar_beet.
Images per class:
- black_grass: 309
- charlock: 452
- cleavers: 335
- common_chickweed: 713
- common_wheat: 253
- fat_hen: 538
- loose_silkybent: 762
- maize: 257
- scentless_mayweed: 607
- shepherds_purse: 274
- smallflowered_cranesbill: 576
- sugar_beet: 463
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{Giselsson2017,
author = {Giselsson, Thomas Mosgaard and Dyrmann, Mads and J{\\o}rgensen, Rasmus Nyholm and Jensen, Peter Kryger and Midtiby, Henrik Skov},
journal = {arXiv preprint},
title = {{A Public Image Database for Benchmark of Plant Seedling Classification Algorithms}},
year = {2017}
}