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deep_weeds

The DeepWeeds dataset consists of 17,509 images capturing eight different weed species native to Australia in situ with neighbouring flora.The selected weed species are local to pastoral grasslands across the state of Queensland.The images were collected from weed infestations at the following sites across Queensland: "Black River", "Charters Towers", "Cluden", "Douglas", "Hervey Range", "Kelso", "McKinlay" and "Paluma".

Split Examples
'train' 17,509
  • Feature structure:
FeaturesDict({
    'image': Image(shape=(256, 256, 3), dtype=tf.uint8),
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=9),
})
  • Feature documentation:
Feature Class Shape Dtype Description
FeaturesDict
image Image (256, 256, 3) tf.uint8
label ClassLabel tf.int64

Visualization

  • Citation:
@article{DeepWeeds2019,
  author = {Alex Olsen and
    Dmitry A. Konovalov and
    Bronson Philippa and
    Peter Ridd and
    Jake C. Wood and
    Jamie Johns and
    Wesley Banks and
    Benjamin Girgenti and
    Owen Kenny and
    James Whinney and
    Brendan Calvert and
    Mostafa {Rahimi Azghadi} and
    Ronald D. White},
  title = { {DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning} },
  journal = {Scientific Reports},
  year = 2019,
  number = 2058,
  month = 2,
  volume = 9,
  issue = 1,
  day = 14,
  url = "https://doi.org/10.1038/s41598-018-38343-3",
  doi = "10.1038/s41598-018-38343-3"
}