Datasets:
Search is not available for this dataset
image
imagewidth (px) 64
64
| label
class label 2
classes |
---|---|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
|
0coffee
|
End of preview. Expand
in Dataset Viewer.
Dataset Card for "Brazilian_Coffee_Scenes"
Licensing Information
[CC BY-NC]
Citation Information
Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?
@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}
}
- Downloads last month
- 51