coil100

• Description:

The dataset contains 7200 color images of 100 objects (72 images per object). The objects have a wide variety of complex geometric and reflectance characteristics. The objects were placed on a motorized turntable against a black background. The turntable was rotated through 360 degrees to vary object pose with respect to a fxed color camera. Images of the objects were taken at pose intervals of 5 degrees.This corresponds to 72 poses per object

• Homepage: http://www.cs.columbia.edu/CAVE/software/softlib/coil-100.php

• Source code: tfds.datasets.coil100.Builder

• Versions:

  • 1.0.0: Initial release
  • 2.0.0 (default): Change features (object_id is now ClassLabel, rename label -> angle_label, add angle)

• Download size: 124.63 MiB

• Dataset size: 124.74 MiB

• Auto-cached (documentation): Yes

• Splits:

Split	Examples
'train'	7,200

• Feature structure:

FeaturesDict({
    'angle': int64,
    'angle_label': ClassLabel(shape=(), dtype=int64, num_classes=72),
    'image': Image(shape=(128, 128, 3), dtype=uint8),
    'object_id': ClassLabel(shape=(), dtype=int64, num_classes=100),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
angle	Tensor		int64
angle_label	ClassLabel		int64
image	Image	(128, 128, 3)	uint8
object_id	ClassLabel		int64

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

• Figure (tfds.show_examples):

• Examples (tfds.as_dataframe):

• Citation:

@article{nene1996columbia,
  title={Columbia object image library (coil-20)},
  author={Nene, Sameer A and Nayar, Shree K and Murase, Hiroshi and others},
  year={1996},
  publisher={Technical report CUCS-005-96}
}