döngüsü_gan
Koleksiyonlar ile düzeninizi koruyun
İçeriği tercihlerinize göre kaydedin ve kategorilere ayırın.
A ve B sınıfına ait görüntülerden oluşan bir veri kümesi (Örneğin: atlar/zebralar, elma/portakal,...)
FeaturesDict({
'image': Image(shape=(None, None, 3), dtype=uint8),
'label': ClassLabel(shape=(), dtype=int64, num_classes=2),
})
Özellik | Sınıf | Şekil | Dtipi | Tanım |
---|
| ÖzelliklerDict | | | |
resim | Resim | (Yok, Yok, 3) | uint8 | |
etiket | SınıfEtiketi | | int64 | |
@article{DBLP:journals/corr/ZhuPIE17,
author = {Jun{-}Yan Zhu and
Taesung Park and
Phillip Isola and
Alexei A. Efros},
title = {Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial
Networks},
journal = {CoRR},
volume = {abs/1703.10593},
year = {2017},
url = {http://arxiv.org/abs/1703.10593},
archivePrefix = {arXiv},
eprint = {1703.10593},
timestamp = {Mon, 13 Aug 2018 16:48:06 +0200},
biburl = {https://dblp.org/rec/bib/journals/corr/ZhuPIE17},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
cycle_gan/apple2orange (varsayılan yapılandırma)
İndirme boyutu : 74.82 MiB
Veri kümesi boyutu : 76.89 MiB
Otomatik önbelleğe alınmış ( belgeler ): Evet
Bölünmeler :
Bölmek | Örnekler |
---|
'testA' | 266 |
'testB' | 248 |
'trainA' | 995 |
'trainB' | 1.019 |

cycle_gan/summer2winter_yosemite
İndirme boyutu : 126.50 MiB
Veri kümesi boyutu : 127.52 MiB
Otomatik önbelleğe alınmış ( belgeler ): Evet
Bölünmeler :
Bölmek | Örnekler |
---|
'testA' | 309 |
'testB' | 238 |
'trainA' | 1.231 |
'trainB' | 962 |

cycle_gan/horse2zebra
İndirme boyutu : 111.45 MiB
Veri kümesi boyutu : 112.55 MiB
Otomatik önbelleğe alınmış ( belgeler ): Evet
Bölünmeler :
Bölmek | Örnekler |
---|
'testA' | 120 |
'testB' | 140 |
'trainA' | 1.067 |
'trainB' | 1.334 |

cycle_gan/monet2photo
İndirme boyutu : 291.09 MiB
Veri kümesi boyutu : 295.75 MiB
Otomatik önbelleğe alınmış ( belgeler ): Hayır
Bölünmeler :
Bölmek | Örnekler |
---|
'testA' | 121 |
'testB' | 751 |
'trainA' | 1.072 |
'trainB' | 6.287 |

cycle_gan/cezanne2photo
İndirme boyutu : 266.92 MiB
Veri kümesi boyutu : 269.56 MiB
Otomatik önbelleğe alınmış ( belgeler ): Hayır
Bölünmeler :
Bölmek | Örnekler |
---|
'testA' | 58 |
'testB' | 751 |
'trainA' | 525 |
'trainB' | 6.287 |

cycle_gan/ukiyoe2photo
İndirme boyutu : 279.38 MiB
Veri kümesi boyutu : 282.62 MiB
Otomatik önbelleğe alınmış ( belgeler ): Hayır
Bölünmeler :
Bölmek | Örnekler |
---|
'testA' | 263 |
'testB' | 751 |
'trainA' | 562 |
'trainB' | 6.287 |

cycle_gan/vangogh2photo
İndirme boyutu : 292.39 MiB
Veri kümesi boyutu : 295.09 MiB
Otomatik önbelleğe alınmış ( belgeler ): Hayır
Bölünmeler :
Bölmek | Örnekler |
---|
'testA' | 400 |
'testB' | 751 |
'trainA' | 400 |
'trainB' | 6.287 |

cycle_gan/haritalar
İndirme boyutu : 1.38 GiB
Veri kümesi boyutu : 701.08 MiB
Otomatik önbelleğe alınmış ( belgeler ): Hayır
Bölünmeler :
Bölmek | Örnekler |
---|
'testA' | 1.098 |
'testB' | 1.098 |
'trainA' | 1.096 |
'trainB' | 1.096 |

cycle_gan/cepheler
İndirme boyutu : 33.51 MiB
Veri kümesi boyutu : 34.83 MiB
Otomatik önbelleğe alınmış ( belgeler ): Evet
Bölünmeler :
Bölmek | Örnekler |
---|
'testA' | 106 |
'testB' | 106 |
'trainA' | 400 |
'trainB' | 400 |

cycle_gan/iphone2dslr_flower
İndirme boyutu : 324.22 MiB
Veri kümesi boyutu : 325.82 MiB
Otomatik önbelleğe alınmış ( belgeler ): Hayır
Bölünmeler :
Bölmek | Örnekler |
---|
'testA' | 569 |
'testB' | 480 |
'trainA' | 1.812 |
'trainB' | 3.325 |

Aksi belirtilmediği sürece bu sayfanın içeriği Creative Commons Atıf 4.0 Lisansı altında ve kod örnekleri Apache 2.0 Lisansı altında lisanslanmıştır. Ayrıntılı bilgi için Google Developers Site Politikaları'na göz atın. Java, Oracle ve/veya satış ortaklarının tescilli ticari markasıdır.
Son güncelleme tarihi: 2024-06-01 UTC.
[null,null,["Son güncelleme tarihi: 2024-06-01 UTC."],[],[],null,["# cycle_gan\n\n\u003cbr /\u003e\n\n- **Description**:\n\nA dataset consisting of images from two classes A and B (For example:\nhorses/zebras, apple/orange,...)\n\n- **Homepage** :\n \u003chttps://junyanz.github.io/CycleGAN/\u003e\n\n- **Source code** :\n [`tfds.image_classification.CycleGAN`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/image_classification/cycle_gan.py)\n\n- **Versions**:\n\n - **`3.0.0`** (default): Cityscapes dataset is removed due to license issue.\n- **Feature structure**:\n\n FeaturesDict({\n 'image': Image(shape=(None, None, 3), dtype=uint8),\n 'label': ClassLabel(shape=(), dtype=int64, num_classes=2),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|---------|--------------|-----------------|-------|-------------|\n| | FeaturesDict | | | |\n| image | Image | (None, None, 3) | uint8 | |\n| label | ClassLabel | | int64 | |\n\n- **Supervised keys** (See\n [`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):\n `('image', 'label')`\n\n- **Citation**:\n\n @article{DBLP:journals/corr/ZhuPIE17,\n author = {Jun{-}Yan Zhu and\n Taesung Park and\n Phillip Isola and\n Alexei A. Efros},\n title = {Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial\n Networks},\n journal = {CoRR},\n volume = {abs/1703.10593},\n year = {2017},\n url = {http://arxiv.org/abs/1703.10593},\n archivePrefix = {arXiv},\n eprint = {1703.10593},\n timestamp = {Mon, 13 Aug 2018 16:48:06 +0200},\n biburl = {https://dblp.org/rec/bib/journals/corr/ZhuPIE17},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n }\n\ncycle_gan/apple2orange (default config)\n---------------------------------------\n\n- **Download size** : `74.82 MiB`\n\n- **Dataset size** : `76.89 MiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n Yes\n\n- **Splits**:\n\n| Split | Examples |\n|------------|----------|\n| `'testA'` | 266 |\n| `'testB'` | 248 |\n| `'trainA'` | 995 |\n| `'trainB'` | 1,019 |\n\n- **Figure** ([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\ncycle_gan/summer2winter_yosemite\n--------------------------------\n\n- **Download size** : `126.50 MiB`\n\n- **Dataset size** : `127.52 MiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n Yes\n\n- **Splits**:\n\n| Split | Examples |\n|------------|----------|\n| `'testA'` | 309 |\n| `'testB'` | 238 |\n| `'trainA'` | 1,231 |\n| `'trainB'` | 962 |\n\n- **Figure** ([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\ncycle_gan/horse2zebra\n---------------------\n\n- **Download size** : `111.45 MiB`\n\n- **Dataset size** : `112.55 MiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n Yes\n\n- **Splits**:\n\n| Split | Examples |\n|------------|----------|\n| `'testA'` | 120 |\n| `'testB'` | 140 |\n| `'trainA'` | 1,067 |\n| `'trainB'` | 1,334 |\n\n- **Figure** ([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\ncycle_gan/monet2photo\n---------------------\n\n- **Download size** : `291.09 MiB`\n\n- **Dataset size** : `295.75 MiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n No\n\n- **Splits**:\n\n| Split | Examples |\n|------------|----------|\n| `'testA'` | 121 |\n| `'testB'` | 751 |\n| `'trainA'` | 1,072 |\n| `'trainB'` | 6,287 |\n\n- **Figure** ([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\ncycle_gan/cezanne2photo\n-----------------------\n\n- **Download size** : `266.92 MiB`\n\n- **Dataset size** : `269.56 MiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n No\n\n- **Splits**:\n\n| Split | Examples |\n|------------|----------|\n| `'testA'` | 58 |\n| `'testB'` | 751 |\n| `'trainA'` | 525 |\n| `'trainB'` | 6,287 |\n\n- **Figure** ([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\ncycle_gan/ukiyoe2photo\n----------------------\n\n- **Download size** : `279.38 MiB`\n\n- **Dataset size** : `282.62 MiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n No\n\n- **Splits**:\n\n| Split | Examples |\n|------------|----------|\n| `'testA'` | 263 |\n| `'testB'` | 751 |\n| `'trainA'` | 562 |\n| `'trainB'` | 6,287 |\n\n- **Figure** ([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\ncycle_gan/vangogh2photo\n-----------------------\n\n- **Download size** : `292.39 MiB`\n\n- **Dataset size** : `295.09 MiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n No\n\n- **Splits**:\n\n| Split | Examples |\n|------------|----------|\n| `'testA'` | 400 |\n| `'testB'` | 751 |\n| `'trainA'` | 400 |\n| `'trainB'` | 6,287 |\n\n- **Figure** ([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\ncycle_gan/maps\n--------------\n\n- **Download size** : `1.38 GiB`\n\n- **Dataset size** : `701.08 MiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n No\n\n- **Splits**:\n\n| Split | Examples |\n|------------|----------|\n| `'testA'` | 1,098 |\n| `'testB'` | 1,098 |\n| `'trainA'` | 1,096 |\n| `'trainB'` | 1,096 |\n\n- **Figure** ([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\ncycle_gan/facades\n-----------------\n\n- **Download size** : `33.51 MiB`\n\n- **Dataset size** : `34.83 MiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n Yes\n\n- **Splits**:\n\n| Split | Examples |\n|------------|----------|\n| `'testA'` | 106 |\n| `'testB'` | 106 |\n| `'trainA'` | 400 |\n| `'trainB'` | 400 |\n\n- **Figure** ([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\ncycle_gan/iphone2dslr_flower\n----------------------------\n\n- **Download size** : `324.22 MiB`\n\n- **Dataset size** : `325.82 MiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n No\n\n- **Splits**:\n\n| Split | Examples |\n|------------|----------|\n| `'testA'` | 569 |\n| `'testB'` | 480 |\n| `'trainA'` | 1,812 |\n| `'trainB'` | 3,325 |\n\n- **Figure** ([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples..."]]