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Oxford IIT Pet

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This dataset consists of 37 categories of pets with roughly 200 images for each class. The images have a large variations in scale, pose and lighting. All images have an associated ground truth annotation of breed, head ROI, and pixel level trimap segmentation.

References

  • O. M. Parkhi, A. Vedaldi, A. Zisserman, C. V. Jawahar
    Cats and Dogs, IEEE Conference on Computer Vision and Pattern Recognition, 2012.

License

The dataset is available to download for commercial/research purposes under the Creative Commons Attribution-ShareAlike 4.0 International (CC-BY-SA 4.0). Note that the license includes a disclaimer of warranties and limitation of liability.