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Wajah Berlabel di Alam Liar: Basis Data untuk Mempelajari Pengenalan Wajah di Lingkungan Tanpa Kendala
Membelah | Contoh |
---|
'train' | 13.233 |
FeaturesDict({
'image': Image(shape=(250, 250, 3), dtype=uint8),
'label': Text(shape=(), dtype=string),
})
Fitur | Kelas | Membentuk | Dtype | Keterangan |
---|
| fiturDict | | | |
gambar | Gambar | (250, 250, 3) | uint8 | |
label | Teks | | rangkaian | |

@TechReport{LFWTech,
author = {Gary B. Huang and Manu Ramesh and Tamara Berg and Erik Learned-Miller},
title = {Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments},
institution = {University of Massachusetts, Amherst},
year = 2007,
number = {07-49},
month = {October}
}
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2022-12-13 UTC.
[null,null,["Terakhir diperbarui pada 2022-12-13 UTC."],[],[],null,["# lfw\n\n\u003cbr /\u003e\n\n- **Description**:\n\nLabeled Faces in the Wild: A Database for Studying Face Recognition in\nUnconstrained Environments\n\n- **Additional Documentation** :\n [Explore on Papers With Code\n north_east](https://paperswithcode.com/dataset/lfw)\n\n- **Homepage** :\n \u003chttp://vis-www.cs.umass.edu/lfw\u003e\n\n- **Source code** :\n [`tfds.datasets.lfw.Builder`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/datasets/lfw/lfw_dataset_builder.py)\n\n- **Versions**:\n\n - **`0.1.1`** (default): No release notes.\n- **Download size** : `172.20 MiB`\n\n- **Dataset size** : `180.28 MiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n Only when `shuffle_files=False` (train)\n\n- **Splits**:\n\n| Split | Examples |\n|-----------|----------|\n| `'train'` | 13,233 |\n\n- **Feature structure**:\n\n FeaturesDict({\n 'image': Image(shape=(250, 250, 3), dtype=uint8),\n 'label': Text(shape=(), dtype=string),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|---------|--------------|---------------|--------|-------------|\n| | FeaturesDict | | | |\n| image | Image | (250, 250, 3) | uint8 | |\n| label | Text | | string | |\n\n- **Supervised keys** (See\n [`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):\n `('label', 'image')`\n\n- **Figure**\n ([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\n- **Citation**:\n\n @TechReport{LFWTech,\n author = {Gary B. Huang and Manu Ramesh and Tamara Berg and Erik Learned-Miller},\n title = {Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments},\n institution = {University of Massachusetts, Amherst},\n year = 2007,\n number = {07-49},\n month = {October}\n }"]]