dappu97/Coil100-Augmented

Dataset Details

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.

In addition to the original dataset, planar rotation (9 angles) and 18 scaling factors have been applied so that there are no dependencies between factors. Objects have a wide variety of complex geometric and reflectance characteristics.

This augmented version of Coil100 has been designed especially 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.

How to download

With Python > 3.0 install

pip install huggingface_hub

Then to download the RGB dataset run

python download_coil100.py

And if you want the binary version run

python download_coil100_binary.py

Citation

if you use the dataset, please cite us:

BibTeX:

@article{dapueto2024transferring,
  title={Transferring disentangled representations: bridging the gap between synthetic and real images},
  author={Dapueto, Jacopo and Noceti, Nicoletta and Odone, Francesca},
  journal={arXiv preprint arXiv:2409.18017},
  year={2024}
}

Uses

This dataset is intended for non-commercial research purposes only.

Dataset Card Authors

Jacopo Dapueto