Datasets:
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---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': a1
'1': a2
'2': a3
'3': a4
'4': ammonite
'5': bamboofern
'6': bedder
'7': binary
'8': branch
'9': broccoli
'10': bud
'11': c_curve
'12': castle
'13': cedarleaf
'14': coral
'15': crystal
'16': deerfern
'17': dragon_curve
'18': drumlin
'19': fern
'20': filmyfern
'21': fleabane
'22': flower
'23': gaku
'24': ginkgo
'25': gold_dragon
'26': grassfern
'27': greygoldenrod
'28': groundpine
'29': involucre
'30': koch_curve
'31': koch_snowflake
'32': maple_leaf
'33': mcWorter_pedigree
'34': morningglory
'35': newyorkfern
'36': octopuslegs
'37': penta
'38': pinetree
'39': rose
'40': shieldfern
'41': sierpinski_carpet
'42': sierpinski_gasket
'43': sierpinski_pentagon
'44': snail
'45': snowcap
'46': snowdrift
'47': spiderbrake
'48': spiral
'49': spleenwort_fern
'50': star
'51': sticks
'52': sunflower
'53': supernova
'54': swirl
'55': tree
'56': turbanshell
'57': umbrellafern
'58': watersprite
'59': zigzag
splits:
- name: train
num_bytes: 3588623140
num_examples: 60000
download_size: 1829671228
dataset_size: 3588623140
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-4.0
task_categories:
- image-classification
pretty_name: 'FractalDB 60 '
size_categories:
- 10K<n<100K
---
# FractalDB 60
FractalDB 60 dataset from [Pre-training without Natural Images](https://hirokatsukataoka16.github.io/Pretraining-without-Natural-Images/).
[Original repo](https://github.com/hirokatsukataoka16/FractalDB-Pretrained-ResNet-PyTorch) | [Project page](https://hirokatsukataoka16.github.io/Pretraining-without-Natural-Images/) | [arXiv](https://arxiv.org/abs/2101.08515)
## Citing
```bibtex
@article{KataokaIJCV2022,
author={Kataoka, Hirokatsu and Okayasu, Kazushige and Matsumoto, Asato and Yamagata, Eisuke and Yamada, Ryosuke and Inoue, Nakamasa and Nakamura, Akio and Satoh, Yutaka},
title={Pre-training without Natural Images},
article={International Journal on Computer Vision (IJCV)},
year={2022},
}
@inproceedings{KataokaACCV2020,
author={Kataoka, Hirokatsu and Okayasu, Kazushige and Matsumoto, Asato and Yamagata, Eisuke and Yamada, Ryosuke and Inoue, Nakamasa and Nakamura, Akio and Satoh, Yutaka},
title={Pre-training without Natural Images},
booktitle={Asian Conference on Computer Vision (ACCV)},
year={2020},
}
@misc{kataoka2021pretraining,
title={Pre-training without Natural Images},
author={Hirokatsu Kataoka and Kazushige Okayasu and Asato Matsumoto and Eisuke Yamagata and Ryosuke Yamada and Nakamasa Inoue and Akio Nakamura and Yutaka Satoh},
year={2021},
eprint={2101.08515},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
``` |