README.md

---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': coffee
          '1': no coffee
  splits:
  - name: train
    num_bytes: 4256968.464
    num_examples: 2876
  download_size: 2830232
  dataset_size: 4256968.464
license: other
task_categories:
- image-classification
---
# Dataset Card for "Brazilian_Coffee_Scenes"

## Dataset Description

- **Paper** [Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?](https://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W13/papers/Penatti_Do_Deep_Features_2015_CVPR_paper.pdf)

### Licensing Information

[CC BY-NC]

## Citation Information

[Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?](https://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W13/papers/Penatti_Do_Deep_Features_2015_CVPR_paper.pdf)

```
@inproceedings{penatti2015deep,
  title        = {Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?},
  author       = {Penatti, Ot{\'a}vio AB and Nogueira, Keiller and Dos Santos, Jefersson A},
  year         = 2015,
  booktitle    = {Proceedings of the IEEE conference on computer vision and pattern recognition workshops},
  pages        = {44--51}
}
```