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Oxford-IIIT Pet
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Overview

Oxford-IIIT Pet Dataset has created a 37 category pet dataset 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.

Dataset Statistics

img

Data Annotation

The annotations are available for every image in the dataset: (a) species and breed name; (b) a tight bounding box (ROI) around the head of the animal; and (c) a pixel level foreground-background segmentation (Trimap).

Citation

Please use the following citation when referencing the dataset:

@InProceedings{parkhi12a,
  author="Omkar M. Parkhi and Andrea Vedaldi and Andrew Zisserman and C. V. Jawahar",
  title="Cats and Dogs",
  booktitle="IEEE Conference on Computer Vision and Pattern Recognition",
  year="2012",
}

License

CC BY-SA 4.0

Basic Information
Application ScenariosAnimal
AnnotationsBox2DPolygon2DClassification
LicenseCC BY-SA 4.0
Updated on2021-03-24 19:49:13
Metadata
Data TypeImage
Data Volume7.4k
File Size0B
Annotation Amount0
Copyright Owner
University of Oxford
Annotator
Unknown
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