- Description:
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".
Additional Documentation: Explore on Papers With Code
Homepage: https://github.com/AlexOlsen/DeepWeeds
Source code:
tfds.image_classification.DeepWeeds
Versions:
2.0.0
: Fixes wrong labels in V1.3.0.0
(default): Update download URL.
Download size:
469.32 MiB
Dataset size:
469.99 MiB
Auto-cached (documentation): No
Splits:
Split | Examples |
---|---|
'train' |
17,509 |
- Feature structure:
FeaturesDict({
'image': Image(shape=(256, 256, 3), dtype=uint8),
'label': ClassLabel(shape=(), dtype=int64, num_classes=9),
})
- Feature documentation:
Feature | Class | Shape | Dtype | Description |
---|---|---|---|---|
FeaturesDict | ||||
image | Image | (256, 256, 3) | uint8 | |
label | ClassLabel | int64 |
Supervised keys (See
as_supervised
doc):('image', 'label')
Figure (tfds.show_examples):
- Examples (tfds.as_dataframe):
- 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"
}