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Stanford Online Products Dataset

Split Examples
'test' 60,502
'train' 59,551
  • Feature structure:
    'class_id': ClassLabel(shape=(), dtype=int64, num_classes=22634),
    'image': Image(shape=(None, None, 3), dtype=uint8),
    'super_class_id': ClassLabel(shape=(), dtype=int64, num_classes=12),
    'super_class_id/num': ClassLabel(shape=(), dtype=int64, num_classes=12),
  • Feature documentation:
Feature Class Shape Dtype Description
class_id ClassLabel int64
image Image (None, None, 3) uint8
super_class_id ClassLabel int64
super_class_id/num ClassLabel int64


  • Citation:
 author    = {Song, Hyun Oh and Xiang, Yu and Jegelka, Stefanie and Savarese, Silvio},
 title     = {Deep Metric Learning via Lifted Structured Feature Embedding},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year      = {2016}