Cat & Dog Breeds Computer Vision Project
Feature Extraction
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Classes (37)
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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Description
The Oxford-IIIT Pet Dataset is developed by the Visual Geometry Group at Oxford. This dataset consists of 37 categories of pet images, with approximately 200 images per class. The images exhibit significant variations in scale, pose, and lighting conditions.
The following annotations are available for every image in the dataset:
- species and breed name
- a tight bounding box (ROI) around the head of the animal
- a pixel level foreground-background segmentation (Trimap).
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Cite This Project
LICENSE
CC BY 4.0 If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
cat-dog-breeds_dataset,
title = { Cat & Dog Breeds Dataset },
type = { Open Source Dataset },
author = { Feature Extraction },
howpublished = { \url{ https://universe.roboflow.com/feature-extraction-p1jos/cat-dog-breeds } },
url = { https://universe.roboflow.com/feature-extraction-p1jos/cat-dog-breeds },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { nov },
note = { visited on 2025-01-03 },
}