Oxford Pets Computer Vision Project

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About this Dataset

The Oxford Pets dataset (also known as the "dogs vs cats" dataset) is a collection of images and annotations labeling various breeds of dogs and cats. There are approximately 100 examples of each of the 37 breeds. This dataset contains the object detection portion of the original dataset with bounding boxes around the animals' heads.

Origin

This dataset was collected by the Visual Geometry Group (VGG) at the University of Oxford.

Source

VGG

Maintainer

Brad Dwyer

Last Updated

2 months ago

Project Type

Object Detection

Subject

pets

Classes

cat-Abyssinian, cat-Bengal, cat-Birman, cat-Bombay, cat-British_Shorthair, cat-Egyptian_Mau, cat-Maine_Coon, cat-Persian, cat-Ragdoll, cat-Russian_Blue, cat-Siamese, cat-Sphynx, dog-american_bulldog, dog-american_pit_bull_terrier, dog-basset_hound, dog-beagle, dog-boxer, dog-chihuahua, dog-english_cocker_spaniel, dog-english_setter, dog-german_shorthaired, dog-great_pyrenees, dog-havanese, dog-japanese_chin, dog-keeshond, dog-leonberger, dog-miniature_pinscher, dog-newfoundland, dog-pomeranian, dog-pug, dog-saint_bernard, dog-samoyed, dog-scottish_terrier, dog-shiba_inu, dog-staffordshire_bull_terrier, dog-wheaten_terrier, dog-yorkshire_terrier

License

CC BY 4.0

Pet
Pet
7492 images
dogs
19 images
dogs
30 images
Cats-photos
526 images
Cats-and-Dogs
60 images