citrus_leaves

The original citrus dataset contains 759 images of healthy and unhealthy citrus fruits and leaves. However, for now we only export 594 images of citrus leaves with the following labels: Black Spot, Canker, Greening, and Healthy. The exported images are in PNG format and have 256x256 pixels.

NOTE: Leaf images with Melanose label were dropped due to very small count and other non-leaf images being present in the same directory.

Dataset URL: https://data.mendeley.com/datasets/3f83gxmv57/2 License: http://creativecommons.org/licenses/by/4.0

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=4),
})

Statistics

Split Examples
ALL 594
TRAIN 594

Homepage

Supervised keys (for as_supervised=True)

(u'image', u'label')

Citation

@article{rauf2019citrus,
  title={A citrus fruits and leaves dataset for detection and classification of
citrus diseases through machine learning},
  author={Rauf, Hafiz Tayyab and Saleem, Basharat Ali and Lali, M Ikram Ullah
and Khan, Muhammad Attique and Sharif, Muhammad and Bukhari, Syed Ahmad Chan},
  journal={Data in brief},
  volume={26},
  pages={104340},
  year={2019},
  publisher={Elsevier}
}