domena
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Zbiór danych DomainNet składa się z obrazów z sześciu różnych domen, w tym zdjęć (prawdziwych), malarstwa, clipartów, ekspresów, infografiki i szkiców. Na domenę przypada od 48 000 do 172 000 obrazów (łącznie 600 000) podzielonych na 345 klas.
W tej wersji TFDS DomainNet używana jest oczyszczona wersja.
FeaturesDict({
'image': Image(shape=(None, None, 3), dtype=uint8),
'label': ClassLabel(shape=(), dtype=int64, num_classes=345),
})
Funkcja | Klasa | Kształt | Typ D | Opis |
---|
| FunkcjeDict | | | |
obraz | Obraz | (Brak, Brak, 3) | uint8 | |
etykieta | Etykieta klasy | | int64 | |
@inproceedings{peng2019moment,
title={Moment matching for multi-source domain adaptation},
author={Peng, Xingchao and Bai, Qinxun and Xia, Xide and Huang, Zijun and Saenko, Kate and Wang, Bo},
booktitle={Proceedings of the IEEE International Conference on Computer Vision},
pages={1406--1415},
year={2019}
}
domainnet/real (domyślna konfiguracja)
Rozdzielać | Przykłady |
---|
'test' | 52041 |
'train' | 120 906 |

domena internetowa/malowanie
Rozdzielać | Przykłady |
---|
'test' | 21850 |
'train' | 50416 |

domena/clipart
Rozdzielać | Przykłady |
---|
'test' | 14604 |
'train' | 33525 |

domena internetowa/szybka wypłata
Rozdzielać | Przykłady |
---|
'test' | 51750 |
'train' | 120750 |

domena/infograf
Rozdzielać | Przykłady |
---|
'test' | 15582 |
'train' | 36023 |

domena/szkic
Rozdzielać | Przykłady |
---|
'test' | 20 916 |
'train' | 48212 |

O ile nie stwierdzono inaczej, treść tej strony jest objęta licencją Creative Commons – uznanie autorstwa 4.0, a fragmenty kodu są dostępne na licencji Apache 2.0. Szczegółowe informacje na ten temat zawierają zasady dotyczące witryny Google Developers. Java jest zastrzeżonym znakiem towarowym firmy Oracle i jej podmiotów stowarzyszonych.
Ostatnia aktualizacja: 2022-11-23 UTC.
[null,null,["Ostatnia aktualizacja: 2022-11-23 UTC."],[],[],null,["# domainnet\n\n\u003cbr /\u003e\n\n- **Description**:\n\nThe DomainNet dataset consists of images from six distinct domains, including\nphotos (real), painting, clipart, quickdraw, infograph and sketch. Per domain\nthere are 48K - 172K images (600K in total) categorized into 345 classes.\n\nIn this TFDS version of DomainNet the cleaned version is used.\n\n- **Additional Documentation** :\n [Explore on Papers With Code\n north_east](https://paperswithcode.com/dataset/domainnet)\n\n- **Homepage** : \u003chttp://ai.bu.edu/DomainNet/\u003e\n\n- **Source code** :\n [`tfds.image_classification.domainnet.Domainnet`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/image_classification/domainnet/domainnet.py)\n\n- **Versions**:\n\n - **`1.0.0`** (default): Initial release.\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n No\n\n- **Feature structure**:\n\n FeaturesDict({\n 'image': Image(shape=(None, None, 3), dtype=uint8),\n 'label': ClassLabel(shape=(), dtype=int64, num_classes=345),\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 @inproceedings{peng2019moment,\n title={Moment matching for multi-source domain adaptation},\n author={Peng, Xingchao and Bai, Qinxun and Xia, Xide and Huang, Zijun and Saenko, Kate and Wang, Bo},\n booktitle={Proceedings of the IEEE International Conference on Computer Vision},\n pages={1406--1415},\n year={2019}\n }\n\ndomainnet/real (default config)\n-------------------------------\n\n- **Download size** : `5.65 GiB`\n\n- **Dataset size** : `5.75 GiB`\n\n- **Splits**:\n\n| Split | Examples |\n|-----------|----------|\n| `'test'` | 52,041 |\n| `'train'` | 120,906 |\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\ndomainnet/painting\n------------------\n\n- **Download size** : `3.43 GiB`\n\n- **Dataset size** : `3.30 GiB`\n\n- **Splits**:\n\n| Split | Examples |\n|-----------|----------|\n| `'test'` | 21,850 |\n| `'train'` | 50,416 |\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\ndomainnet/clipart\n-----------------\n\n- **Download size** : `1.19 GiB`\n\n- **Dataset size** : `1.27 GiB`\n\n- **Splits**:\n\n| Split | Examples |\n|-----------|----------|\n| `'test'` | 14,604 |\n| `'train'` | 33,525 |\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\ndomainnet/quickdraw\n-------------------\n\n- **Download size** : `445.65 MiB`\n\n- **Dataset size** : `435.16 MiB`\n\n- **Splits**:\n\n| Split | Examples |\n|-----------|----------|\n| `'test'` | 51,750 |\n| `'train'` | 120,750 |\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\ndomainnet/infograph\n-------------------\n\n- **Download size** : `4.04 GiB`\n\n- **Dataset size** : `4.17 GiB`\n\n- **Splits**:\n\n| Split | Examples |\n|-----------|----------|\n| `'test'` | 15,582 |\n| `'train'` | 36,023 |\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\ndomainnet/sketch\n----------------\n\n- **Download size** : `2.46 GiB`\n\n- **Dataset size** : `2.55 GiB`\n\n- **Splits**:\n\n| Split | Examples |\n|-----------|----------|\n| `'test'` | 20,916 |\n| `'train'` | 48,212 |\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..."]]