license: apache-2.0
task_categories:
- image-feature-extraction
- image-classification
- image-to-3d
- image-segmentation
size_categories:
- 1M<n<10M
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. 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.
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.