citrus_leaves

• Description:

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

• Homepage: https://data.mendeley.com/datasets/3f83gxmv57/2

• Source code: tfds.image_classification.CitrusLeaves

• Versions:

  • 0.1.1: Citrus Leaves dataset
  • 0.1.2 (default): Website URL update

• Download size: 63.87 MiB

• Dataset size: 37.89 MiB

• Auto-cached (documentation): Yes

• Splits:

Split	Examples
'train'	594

• Feature structure:

FeaturesDict({
    'image': Image(shape=(None, None, 3), dtype=uint8),
    'image/filename': Text(shape=(), dtype=string),
    'label': ClassLabel(shape=(), dtype=int64, num_classes=4),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	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):

• Examples (tfds.as_dataframe):

• 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}
}