places365_small

• Description:

The Places365-Standard dataset contains 1.8 million train images from 365 scene categories, which are used to train the Places365 CNNs. There are 50 images per category in the validation set and 900 images per category in the testing set.

• Additional Documentation: Explore on Papers With Code

• Homepage: http://places2.csail.mit.edu/

• Source code: tfds.datasets.places365_small.Builder

• Versions:

  • 2.1.0 (default): Changed the example keys in order to ease integration with KYD.

• Download size: 29.27 GiB

• Dataset size: 27.85 GiB

• Auto-cached (documentation): No

• Splits:

Split	Examples
'test'	328,500
'train'	1,803,460
'validation'	36,500

• Feature structure:

FeaturesDict({
    'filename': Text(shape=(), dtype=string),
    'image': Image(shape=(256, 256, 3), dtype=uint8),
    'label': ClassLabel(shape=(), dtype=int64, num_classes=365),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
filename	Text		string
image	Image	(256, 256, 3)	uint8
label	ClassLabel		int64

• Supervised keys (See as_supervised doc): ('image', 'label', 'filename')

• Figure (tfds.show_examples):

• Examples (tfds.as_dataframe):

• Citation:

@article{zhou2017places,
  title={Places: A 10 million Image Database for Scene Recognition},
  author={Zhou, Bolei and Lapedriza, Agata and Khosla, Aditya and Oliva, Aude and Torralba, Antonio},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2017},
  publisher={IEEE}
}