- Description:
The PlantVillage dataset consists of 54303 healthy and unhealthy leaf images divided into 38 categories by species and disease.
Original paper URL: https://arxiv.org/abs/1511.08060 Dataset URL: https://data.mendeley.com/datasets/tywbtsjrjv/1
Homepage: https://arxiv.org/abs/1511.08060
Source code:
tfds.image_classification.PlantVillage
Versions:
1.0.2
(default): No release notes.
Download size:
827.82 MiB
Dataset size:
815.37 MiB
Auto-cached (documentation): No
Splits:
Split | Examples |
---|---|
'train' |
54,303 |
- Features:
FeaturesDict({
'image': Image(shape=(None, None, 3), dtype=tf.uint8),
'image/filename': Text(shape=(), dtype=tf.string),
'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=38),
})
Supervised keys (See
as_supervised
doc):('image', 'label')
Citation:
@article{DBLP:journals/corr/HughesS15,
author = {David P. Hughes and
Marcel Salath{'{e} } },
title = {An open access repository of images on plant health to enable the
development of mobile disease diagnostics through machine
learning and crowdsourcing},
journal = {CoRR},
volume = {abs/1511.08060},
year = {2015},
url = {http://arxiv.org/abs/1511.08060},
archivePrefix = {arXiv},
eprint = {1511.08060},
timestamp = {Mon, 13 Aug 2018 16:48:21 +0200},
biburl = {https://dblp.org/rec/bib/journals/corr/HughesS15},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
- Figure (tfds.show_examples):
- Examples (tfds.as_dataframe):