---
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)

### 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}
}
```