An estimated ** million households in the United States owned at least one dog according to a 2024/25 pet owners survey, making them the most widely owned type of pet across the U.S. at this time. Cats and freshwater fish ranked in second and third places, with around ** million and ** million households owning such pets, respectively. Freshwater vs. salt water fish Freshwater fish spend most or all their lives in fresh water. Fresh water’s main difference to salt water is the level of salinity. Freshwater fish have a range of physiological adaptations to enable them to live in such conditions. As the statistic makes clear, Americans keep a large number of freshwater aquatic species at home as pets. American pet owners In 2023, around ** percent of all households in the United States owned a pet. This is a decrease from 2020, but still around a ** percent increase from 1988. It is no surprise that as more and more households own pets, pet industry expenditure has also witnessed steady growth. Expenditure reached over *** billion U.S. dollars in 2022, almost a sixfold increase from 1998. The majority of pet product sales are still made in brick-and-mortar stores, despite the rise and evolution of e-commerce in the United States.

Active Dog Licenses. All dog owners residing in NYC are required by law to license their dogs. The data is sourced from the DOHMH Dog Licensing System (https://a816-healthpsi.nyc.gov/DogLicense), where owners can apply for and renew dog licenses. Each record represents a unique dog license that was active during the year, but not necessarily a unique record per dog, since a license that is renewed during the year results in a separate record of an active license period. Each record stands as a unique license period for the dog over the course of the yearlong time frame.

Dataset Summary

Mini(24 MB) Classification dataset for mini projects. Cats, dogs and rabbit are included as pet in this dataset.

  Supported Tasks and Leaderboards

image-classification: Based on a pet image, the goal of this task is to predict the type of pet (i.e., dog or cat or rabbit).

  Languages

English

  Class Label Mappings:

{ "cat": 0, "dog": 1, "rabbit": 2, }

  Load Dataset

from datasets import load_dataset

train_dataset =… See the full description on the dataset page: https://huggingface.co/datasets/rokmr/pets.

Pet Health Symptoms Dataset

  Overview

This dataset contains 2,000 LLM-generated pet health symptoms text samples covering 5 common pet health condition categories, designed to train ML models for automated pet health classification. Each entry is labeled with:

Pet health condition (1 of 5 distinct classes)
Record type (Owner Observation or Clinical Notes)

Owner observations are expressed in everyday language (e.g., "My cat scratches constantly"), whereas clinical… See the full description on the dataset page: https://huggingface.co/datasets/karenwky/pet-health-symptoms-dataset.

Context

I have taken this dataset from the NYC Open Data Website: https://data.cityofnewyork.us

I wanted to use the cleaned version of this dataset and I thought people might like to use this version. The original dataset was last updated on 10th September 2018.

Description: All dog owners residing in NYC are required by law to license their dogs. The data is sourced from the DOHMH Dog Licensing System (https://a816-healthpsi.nyc.gov/DogLicense), where owners can apply for and renew dog licenses. Each record represents a unique dog license that was active during the year, but not necessarily a unique record per dog, since a license that is renewed during the year results in a separate record of an active license period. Each record stands as a unique license period for the dog over the course of the yearlong time frame.

Content

The original dataset contained 122K rows and 15 columns. After cleaning the data, the count has reduced to 121862 rows.

Acknowledgements

Thank you to the city of new york for collecting and providing this data! As well as the NYC Department of Health who acquired this data from owners who registered their dogs for the dog license.

Inspiration

I'll let you guys get creative and explore the dataset.

About this Data

In reality, the rise of AI is due to us looking for a way to hone our capacity to show love to our pets. The computer itself evolved so that it could house more pictures of cattos and doggos and big data is largely a result of us posting more and more pictures of our pets in the interwebs. With this dataset, containing 3686 images with bounding boxes for 2 classes (doggos, cattos), you can finally apply your skills to a relevant and timeless problem of the human race: find the good boyes so that you can give them treats and pet them.

How to Cite this Dataset

If you use this dataset in your research, please credit the authors:

BibTeX

@misc{pets dataset, url={https://makeml.app/datasets/pets}, journal={Pets Dataset}, publisher={MakeML}}

License

CC BY SA 4.0

Splash Banner

Splash banner created by maintainer.

The dataset from the paper Do owners know how impulsive their dogs are?. Two data sets were collected. Data set 1 involved 117 dog-owner pairs from Lincoln, Nebraska, USA between Nov 2018 - Jul 2021. Data set 2 involved 103 dog-owner pairs from Lincoln, Nebraska, USA between Aug 2020 - Oct 2021. In the first data file, each row represents behavioral and survey responses from a single dog. In the second data file, each row represents the responses of a single owner for a particular survey scale.

IntroductionChronic kidney disease (CKD) in canines is a progressive condition characterized by a gradual decline in kidney function. There are significant gaps in understanding how CKD is managed in canines and the full extent of its impact. This study aimed to characterize disease management of CKD and its impact on dogs, their owners and the veterinary healthcare system in the United States of America (United States).MethodsData were drawn from the Adelphi Real World Canine CKD Disease Specific Programme™, a cross-sectional survey of veterinarians, pet owners and their dogs with CKD in the United States from December 2022 to January 2024. Veterinarians reported demographic, diagnostic, treatment, and healthcare utilization data, for dogs with CKD. Owners voluntarily completed questionnaires, providing data about their dog, as well as quality of life and work-related burden using the Dog Owners Quality of Life, and the Work Productivity and Activity Impairment questionnaires. Analyses were descriptive and Cohen’s Kappa was used to measure agreement between owners and veterinarians.ResultsA total of 117 veterinarians provided data for 308 dogs, of which 68 owners also reported information. Discrepancies in recognizing symptoms of CKD in dogs, particularly excessive water consumption and urination, were identified between veterinary professionals and owners. Interventions for managing CKD in dogs focused on controlling symptoms and supporting kidney function through dietary modifications and medication. Owners of dogs with CKD reported minimal impact to overall work and activity impairment (10 and 14%, respectively). At diagnosis, 78.6% of dogs were International Renal Interest Society Stage I-II, and 21.5% were Stage III-IV. Regardless of CKD stage, owners strongly agreed that ownership provided them with emotional support and companionship. Regarding veterinary healthcare utilization, 95% of dogs were seen in general veterinary practices.DiscussionThese findings emphasize the value of real-world evidence in enhancing our understanding of CKD in companion animals and informs future strategy for the real-world diagnosis and treatment of CKD. The results also provide insights to the potential burden experienced by owners of dogs with CKD.

Oxford Pets

A multi-modal dataset containing images with segmentation masks and bounding boxes for 37 specific cat and dog breeds.

  Dataset Details





  Data Fields

img: RGB image msk: Grayscale image (0: foreground, 1: background, 2: ambiguous) bbox: Sequence of integers representing bounding boxes in [x_min, y_min, width, height] format class: Binary class label (0=cat, 1=dog) category: Fine-grained breed classification from 37 classes: Cats (17 breeds):… See the full description on the dataset page: https://huggingface.co/datasets/cvdl/oxford-pets.

The Oxford-IIIT Pet Dataset

  Description

A 37 category pet dataset with roughly 200 images for each class. The images have a large variations in scale, pose and lighting. This instance of the dataset uses standard label ordering and includes the standard train/test splits. Trimaps and bbox are not included, but there is an image_id field that can be used to reference those annotations from official metadata. Website: https://www.robots.ox.ac.uk/~vgg/data/pets/… See the full description on the dataset page: https://huggingface.co/datasets/timm/oxford-iiit-pet.

Summary data for dogs denied entry to the United States by year, January 1, 2018—December 31,2020.

Visualize on Visual Layer

  Oxford-IIIT-Pets-VL-Enriched

An enriched version of the Oxford IIIT Pets Dataset with image caption, bounding boxes, and label issues! With this additional information, the Oxford IIIT Pet dataset can be extended to various tasks such as image retrieval or visual question answering. The label issues help to curate a cleaner and leaner dataset.

  Description

The dataset consists of 6 columns:

image_id: Unique identifier for each… See the full description on the dataset page: https://huggingface.co/datasets/visual-layer/oxford-iiit-pet-vl-enriched.

Descriptive statistics of the study participants by their pet ownership status (No pet, Dog, and Cat).

The number of pet cats adopted from shelters or rescues in the United States reached over *** million in 2023.

Total-Long-Term-Assets Time Series for Trupanion Inc. Trupanion, Inc., together with its subsidiaries, provides medical insurance for cats and dogs on subscription basis in the United States, Canada, Continental Europe, and Australia. The company operates in two segments, Subscription Business and Other Business. It serves pet owners and veterinarians. The company was formerly known as Vetinsurance International, Inc. changed its name to Trupanion, Inc. in 2013. The company was founded in 2000 and is headquartered in Seattle, Washington.

The share of households owning a pet in the United Kingdom remained relatively stable between 2012 and 2018, hovering around an estimated percentage of 47 to 45 percent. However, pet ownership levels peaked to an unprecedented high of 62 percent in 2022, likely as a result of the coronavirus pandemic and increased time spent at home. In 2023, this figure shrank to 57 percent.

Pet ownership in the UK With more than half of UK households owning at least one pet in 2021/22, dogs and cats were the most common household pets in that year, with an estimated 13 million dogs and 12 million cats living in homes. As of 2020, the United Kingdom was the second highest-ranking European country in terms of its dog population, preceded only by Germany.

Consumer spending on pets in the UK As the pet population in the United Kingdom increased in size, so did consumer spending on pet food and pet-related products and services. Spending on pets and related products reached almost eight billion British pounds in 2020, a notable increase from a mere 2.9 billion British pounds in 2005. Among the most expensive pet-related expenditures are veterinary and pet services, which constituted almost four billion British pounds in 2020.

Canine atopic dermatitis (CAD) is a common inflammatory skin condition in dogs. It is a life-long problem which poses a significant welfare issue due to the chronic skin discomfort and pruritus (itch) experienced. Excessive scratching, licking and chewing cause self-trauma to the skin and increased risk of secondary infections. Several breeds are predisposed including the Labrador Retriever, Boxer and French Bulldog, suggesting a genetic component to the condition. Our access to a sizeable population of dogs genotyped on a medium density single-nucleotide polymorphism (SNP) array along with linked clinical record information allows for large-scale and highly powered genome-wide association study (GWAS) analysis. In this study, over 28 thousand dogs were used to look for genetic changes associated with CAD. We identified a statistically significant signal on canine chromosome 38, with a particularly strong association in the French Bulldog breed. Genome resequencing revealed a provocativ..., Samples DNA samples were collected via commercial testing of Wisdom Panel™ Premium, Wisdom Panel™ Essential, Wisdom Panel™ Health and Optimal Selection™ retail products, and genetic testing performed as a part of Optimal Wellness Plans® for puppies, through Banfield Pet Hospital branches (Vancouver, WA, USA) and as part of the MARS PETCARE BIOBANK™. Samples were either collected through non-invasive cheek swabbing by dog owners or veterinary professionals or through blood sampling by a veterinary professional at a Banfield Pet Hospital in line with regulations governing diagnostic testing. Consent for use of DNA data in research was obtained through the client’s agreement with terms and conditions of DNA testing through Wisdom Panel. Analysis and sequencing of cDNA were performed using samples collected from dogs participating in the Mars Petcare Biobank. All samples originated from the United States or Mexico. Analysis An initial GWAS was performed using 14,378 single breed cases..., , # PLINK breed data showing SLAMF1 is associated with canine atopic dermatitis

https://doi.org/10.5061/dryad.np5hqc053

Description of the data and file structure

Corresponding Author Contact Information

Name: Oliver P Forman
Institution: Wisdom Panel, Science and Diagnostics, Mars Petcare, US 
Email: oliver.forman@effem.com

Dataset Overview

This dataset contains the Plink data required to replicate GWAS analysis in "A splice donor variant in SLAMF1 is associated with canine atopic dermatitis", Oliver P. Forman, et al.

Description of the data and file structure

Each of the datasets contains a set of binary Plink files (.bed, .bim and .bam) annotated with breed abbreviations and case and control numbers.

Software

All available data was produced and can be manipulated with the free software Plink v1.9

Files with the extensions bim and fam are plain text and viewable with...,

Dog source methods.

Canadian and non-Canadian dog age on acquisition.

Values used in the calculation of the fraction (and total) of energy consumed by dogs and cats in the US.