Brad Dwyer

Oxford Pets

Object Detection

8

Oxford Pets Computer Vision Project

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Images

3680 images
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Example Annotations

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.

Connect Your Model With Program Logic

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

Source

VGG

Maintainer

Brad Dwyer

Last Updated

2 years ago

Project Type

Object Detection

Subject

pets

Views: 8559

Views in previous 30 days: 345

Downloads: 1528

Downloads in previous 30 days: 162

License

CC BY 4.0

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