TFDS now supports the Croissant 🥐 format! Read the documentation to know more.

plant_village

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

Additional Documentation: Explore on Papers With Code
Homepage: https://arxiv.org/abs/1511.08060
Source code: tfds.datasets.plant_village.Builder
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

Feature structure:

FeaturesDict({
    'image': Image(shape=(None, None, 3), dtype=uint8),
    'image/filename': Text(shape=(), dtype=string),
    'label': ClassLabel(shape=(), dtype=int64, num_classes=38),
})

Feature documentation:

Feature	Class	Shape	Dtype
	FeaturesDict
image	Image	(None, None, 3)	uint8
image/filename	Text		string
label	ClassLabel		int64

Supervised keys (See as_supervised doc): ('image', 'label')
Figure (tfds.show_examples):

Visualization

Examples (tfds.as_dataframe):

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}
}