Canadian_Cropland / README.md
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---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': BARLEY
'1': CANOLA
'2': CORN
'3': MIXEDWOOD
'4': OAT
'5': ORCHARD
'6': PASTURE
'7': POTATO
'8': SOYBEAN
'9': SPRING_WHEAT
splits:
- name: train
num_bytes: 68287123.977
num_examples: 14111
download_size: 66338711
dataset_size: 68287123.977
viewer: true
---
# Dataset Card for "Canadian_Cropland_Dataset"
## Dataset Description
- **Paper** [Towards the Creation of a Canadian Land-Use Dataset for Agricultural Land Classification](https://openreview.net/pdf/3b9f82b0ce8f1e195c4c20df9637afd8ed9ea339.pdf)
- **Split** 2017, RGB
- **GitHub** [Canadian-cropland-dataset](https://github.com/bioinfoUQAM/Canadian-cropland-dataset)
## Split Information
This HuggingFace dataset repository contains just the 2017, RGB split.
### Licensing Information
[Montreal Data License](https://github.com/bioinfoUQAM/Canadian-cropland-dataset/blob/main/DATA_LICENSE)
## Citation Information
[Towards the Creation of a Canadian Land-Use Dataset for Agricultural Land Classification](https://openreview.net/pdf/3b9f82b0ce8f1e195c4c20df9637afd8ed9ea339.pdf)
```
@inproceedings{jacques2021towards,
title = {Towards the Creation of a Canadian Land-Use Dataset for Agricultural Land Classification},
author = {Jacques, Amanda A Boatswain and Diallo, Abdoulaye Banir{\'e} and Lord, Etienne},
year = 2021,
booktitle = {42nd Canadian Symposium on Remote Sensing: Understanding Our World: Remote Sensing for a Sustainable Future}
}
```