The ETH-80 dataset [1] contains visual object images from 8 different categories including apples, cars, cows,cups, dogs, horses, pears and tomatoes. For each category, there are 10 object instances and 41 images for each object instance captured from different viewpoints.

The useage of this image set dataset can refer to:

1. https://github.com/Kai-Xuan/RiemannianCovDs/
   BibTex :

@article{chen2020covariance,
  title={Covariance Descriptors on a Gaussian Manifold and their Application to Image Set Classification},
  author={Chen, Kai-Xuan and Ren, Jie-Yi and Wu, Xiao-Jun and Kittler, Josef},
  journal={Pattern Recognition},
  pages={107463},
  year={2020},
  publisher={Elsevier}
}

BibTex :

@inproceedings{leibe2003analyzing,
  title={Analyzing appearance and contour based methods for object categorization},
  author={Leibe, Bastian and Schiele, Bernt},
  booktitle={2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.},
  volume={2},
  pages={II--409},
  year={2003},
  organization={IEEE}
}

References

[1] B. Leibe and, B.Schiele. Analyzing Appearance and Contour Based Methods for Object Categorization. CVPR, vol.2, pp. 409-415, 2003