Datasets › Coil100-Augmented

Coil100-Augmented

Introduced by Jacopo Dapueto et al. in Transferring disentangled representations: bridging the gap between synthetic and real images26 Sep 2024 archive 2025-07-28

This dataset derives from Coil100. There are more than 1,1M images of 100 objects. Each object was turned on a turnable through 360 degrees to vary object pose with respect to a fixed color camera. Images of the objects were taken at pose intervals of 5 degrees. This corresponds to 72 poses per object. Then planar rotation (9 angles) and 18 scaling factors has been applied. Objects have a wide variety of complex geometric and reflectance characteristics.

This augmented version of Coil100 has been design for Disentangled Representation Learning for real images, the Factors of Variations are:

Factors # values
Object 100
3D Pose 72
Rotation 9
Scale 18

The binarized version is also available.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

apache-2.0

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Coil100-Augmented

1 variant name, as the archive lists them.

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