Update README.md

README.md

@@ -69,13 +69,43 @@ dataset_info:
           '59': zigzag
   splits:
   - name: train
-    num_bytes: 3588623140.0
+    num_bytes: 3588623140
     num_examples: 60000
   download_size: 1829671228
-  dataset_size: 3588623140.0
+  dataset_size: 3588623140
 configs:
 - config_name: default
   data_files:
   - split: train
     path: data/train-*
+license: cc0-1.0
+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/)
+
+## 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},
+}
+```