Help protect the Great Barrier Reef with TensorFlow on Kaggle Join Challenge


  • Description:

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.

Split Examples
'test' 5,794
'train' 5,994
  • Features:
    '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),
  • Citation:
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}