Oxford Pets Computer Vision Project
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
Maintainer
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
Views: 6785
Downloads: 1042
