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Descrição :
Caltech-UCSD Birds 200 (CUB-200) é um conjunto de dados de imagens com fotos de 200 espécies de aves (principalmente norte-americanas). O número total de categorias de aves é 200 e há 6.033 imagens no conjunto de dados de 2010 e 11.788 imagens no conjunto de dados de 2011. As anotações incluem caixas delimitadoras e rótulos de segmentação.
[null,null,["Última atualização 2025-07-21 UTC."],[],[],null,["# caltech_birds2011\n\n\u003cbr /\u003e\n\n| **Note:** This dataset has been updated since the last stable release. The new versions and config marked with nights_stay are only available in the `tfds-nightly` package.\n\n- **Description**:\n\nCaltech-UCSD Birds 200 (CUB-200) is an image dataset with photos of 200 bird\nspecies (mostly North American). The total number of categories of birds is 200\nand there are 6033 images in the 2010 dataset and 11,788 images in the 2011\ndataset. Annotations include bounding boxes, segmentation labels.\n\n- **Additional Documentation** :\n [Explore on Papers With Code\n north_east](https://paperswithcode.com/dataset/cub-200-2011)\n\n- **Homepage** :\n \u003chttps://www.vision.caltech.edu/datasets/cub_200_2011/\u003e\n\n- **Source code** :\n [`tfds.image_classification.CaltechBirds2011`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/image_classification/caltech_birds.py)\n\n- **Versions**:\n\n - **`0.2.0`** (default) nights_stay: No release notes.\n- **Download size** : `1.11 GiB`\n\n- **Dataset size** : `1.11 GiB`\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| `'test'` | 5,794 |\n| `'train'` | 5,994 |\n\n- **Feature structure**:\n\n FeaturesDict({\n 'bbox': BBoxFeature(shape=(4,), dtype=float32),\n 'image': Image(shape=(None, None, 3), dtype=uint8),\n 'image/filename': Text(shape=(), dtype=string),\n 'label': ClassLabel(shape=(), dtype=int64, num_classes=200),\n 'label_name': Text(shape=(), dtype=string),\n 'segmentation_mask': Image(shape=(None, None, 1), dtype=uint8),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|-------------------|--------------|-----------------|---------|-------------|\n| | FeaturesDict | | | |\n| bbox | BBoxFeature | (4,) | float32 | |\n| image | Image | (None, None, 3) | uint8 | |\n| image/filename | Text | | string | |\n| label | ClassLabel | | int64 | |\n| label_name | Text | | string | |\n| segmentation_mask | Image | (None, None, 1) | uint8 | |\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- **Figure**\n ([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):\n Not supported.\n\n- **Examples**\n ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\n- **Citation**:\n\n @techreport{WelinderEtal2010,\n Author = {P. Welinder and S. Branson and T. Mita and C. Wah and F. Schroff and S. Belongie and P. Perona},\n Institution = {California Institute of Technology},\n Number = {CNS-TR-2010-001},\n Title = { {Caltech-UCSD Birds 200} },\n Year = {2010}\n }"]]
