Omkar2118/datasets huggingface dataset:
Coil100-Augmented

This dataset derives from [Coil100](https://huggingface.co/datasets/Voxel51/COIL-100). 
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.

Introducing paper: Transferring disentangled representations: bridging the gap between synthetic and real images