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Oxford-IIIT Pet
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update dataset overview and ba...
214a85e·
Feb 10, 2022 7:42 AM
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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

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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",
}
Data Preview
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🎉Many thanks to Graviti Open Datasets for contributing the dataset
Basic Information
Application ScenariosAnimal
AnnotationsBox2DClassificationSemanticMask
TasksNot Available
LicenseCC BY-SA 4.0
Updated on2022-02-10 07:42:25
Metadata
Data TypeImage
Data Volume7,390
Annotation Amount7,390
File Size754.65MB
Copyright Owner
University of Oxford
Annotator
Unknown