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توضیحات :
Caltech-UCSD Birds 200 (CUB-200) مجموعه داده تصویری با عکس های 200 گونه پرنده (عمدتاً آمریکای شمالی) است. تعداد کل دسته پرندگان 200 است و 6033 تصویر در مجموعه داده 2010 و 11788 تصویر در مجموعه داده 2011 وجود دارد. حاشیه نویسی ها شامل جعبه های محدود کننده، برچسب های تقسیم بندی هستند.
تاریخ آخرین بهروزرسانی 2025-07-21 بهوقت ساعت هماهنگ جهانی.
[null,null,["تاریخ آخرین بهروزرسانی 2025-07-21 بهوقت ساعت هماهنگ جهانی."],[],[],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 }"]]
