Koleksiyonlar ile düzeninizi koruyun
İçeriği tercihlerinize göre kaydedin ve kategorilere ayırın.
Tanım :
Caltech-UCSD Birds 200 (CUB-200), çoğunluğu Kuzey Amerika'ya ait 200 kuş türüne ait fotoğraflardan oluşan bir görüntü veri kümesidir. Toplam kuş kategorisi sayısı 200'dür ve 2010 veri kümesinde 6033, 2011 veri kümesinde ise 11.788 görüntü bulunmaktadır. Açıklamalar, sınırlayıcı kutular ve segmentasyon etiketleri içerir.
[null,null,["Son güncelleme tarihi: 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 }"]]