Brad Dwyer

Oxford Pets

Object Detection

5

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.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Find utilities and guides to help you start using the Oxford Pets project in your project.

Source

VGG

Maintainer

Brad Dwyer

Last Updated

a year 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

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License

CC BY 4.0