Join us at TensorFlow World, Oct 28-31. Use code TF20 for 20% off select passes. Register now

caltech_birds2011

Caltech-UCSD Birds 200 (CUB-200) is an image dataset with photos of 200 bird species (mostly North American). The total number of categories of birds is 200 and there are 6033 images in the 2010 dataset and 11,788 images in the 2011 dataset. Annotations include bounding boxes, segmentation labels.

Features

FeaturesDict({
    'bbox': BBoxFeature(shape=(4,), dtype=tf.float32),
    'image': Image(shape=(None, None, 3), dtype=tf.uint8),
    'image/filename': Text(shape=(), dtype=tf.string),
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=200),
    'label_name': Text(shape=(), dtype=tf.string),
    'segmentation_mask': Image(shape=(None, None, 1), dtype=tf.uint8),
})

Statistics

None computed

Urls

Supervised keys (for as_supervised=True)

(u'image', u'label')

Citation

@techreport{WelinderEtal2010,
Author = {P. Welinder and S. Branson and T. Mita and C. Wah and F. Schroff and S. Belongie and P. Perona},
Institution = {California Institute of Technology},
Number = {CNS-TR-2010-001},
Title = { {Caltech-UCSD Birds 200}},
Year = {2010}
}