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

• 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:

• 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')

• Figure (tfds.show_examples):

• 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}
}