Dataset Card for Stanford Dogs

The Stanford Dogs dataset contains images of 120 breeds of dogs from around the world. This dataset has been built using images and annotation from ImageNet for the task of fine-grained image categorization. Contents of this dataset:

Number of categories: 120

Number of images: 20,580

Annotations: Class labels, Bounding boxes (not imported to HF)

Website: http://vision.stanford.edu/aditya86/ImageNetDogs/

Paper:… See the full description on the dataset page: https://huggingface.co/datasets/maurice-fp/stanford-dogs.

1) Data Introduction • The Stanford Dogs dataset is a high-resolution image dataset consisting of 17 representative dog breeds, including Maltese, Shih Tzu, Afghan Hound, Irish Wolfhound, Saluki, Scottish Deerhound, Sealyham Terrier, Airedale, Tibetan Terrier, Bernese Mountain Dog, Entlebucher, Basenji, Pug, Leonberger, Great Pyrenees, Samoyed, and Pomeranian.

2) Data Utilization (1) Characteristics of the Stanford Dogs Dataset: • The dataset is well-suited for capturing subtle visual differences between dog breeds with similar appearances and can be effectively used for fine-grained breed classification and image recognition experiments.

(2) Applications of the Stanford Dogs Dataset: • Dog Classification Model Development: It can be used to develop artificial intelligence models that automatically classify dog species by learning the visual features of various dog species. • Detailed Image Recognition Study: It can be used for research in the field of fine-grained visual categorization that distinguishes minute differences between dog species with similar appearance.

The Stanford Dogs dataset contains 20,580 images of 120 classes of dogs from around the world, which are divided into 12,000 images for training and 8,580 images for testing.

Stanford Dogs Dataset Dog Breed

## Overview

Stanford Dogs Dataset Dog Breed is a dataset for object detection tasks - it contains Dogs annotations for 20,491 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [Public Domain license](https://creativecommons.org/licenses/Public Domain).

This statistic shows common complaints of Americans who have bought puppies from breeders, pet stores or so-called brokers and realized their new pet is not in good health. The complaints were collected from 2007 to 2011 by the Humane Society of America via e-mail, a website complaint form and a tip line. Overall, 2,479 complaints were registered during these five years, 40 percent of those were complaints about the puppies suffering from an illness.

How many dogs are there in the US? According to a pet owners survey, there were approximately 89.7 million dogs owned in the United States in 2017. This is an increase of over 20 million since the beginning of the survey period in 2000, when around 68 million dogs were owned in the United States.

Why has this figure increased?

The resident population of the United States has also increased significantly within this time period. It is, therefore, no surprise that the number of dogs owned in U.S. households has also increased, especially when considering that the household penetration rate for dog-ownership reached almost 50 percent in recent years.

The dog food market in the United States

The large number of dogs owned by Americans creates a lucrative market for pet food brands and retailers. Pedigree, the leading dry dog food name brand in the U.S., had sales amounting to around 550 million U.S. dollars in 2017. Pedigree also led the pack in the wet dog food category , with sales of around 240 million U.S. dollars in the same year.

Tsinghua Dogs is a fine-grained classification dataset for dogs, over 65% of whose images are collected from people's real life. Each dog breed in the dataset contains at least 200 images and a maximum of 7,449 images, basically in proportion to their frequency of occurrence in China, so it significantly increases the diversity for each breed over existing dataset. Furthermore, Tsinghua Dogs annotated bounding boxes of the dog’s whole body and head in each image, which can be used for supervising the training of learning algorithms as well as testing them.

This dataset contains a list of shelter animals that are ready to be adopted from the Montgomery County Animal Services and Adoption Center at 7315 Muncaster Mill Rd., Derwood MD 20855. The 'How To Adopt' details are posted on https://www.montgomerycountymd.gov/animalservices/adoption/howtoadopt.html. Update Frequency : Every two hours

karma5207/puppies dataset hosted on Hugging Face and contributed by the HF Datasets community

Detection Of Stray Dogs

## Overview

Detection Of Stray Dogs is a dataset for object detection tasks - it contains Stray Dogs annotations for 305 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

A large set of images of cats and dogs.

Homepage: https://www.microsoft.com/en-us/download/details.aspx?id=54765

Source code: tfds.image_classification.CatsVsDogs

Versions:

4.0.0 (default): New split API (https://tensorflow.org/datasets/splits) Download size: 786.68 MiB

Source: https://www.tensorflow.org/datasets/catalog/cats_vs_dogs

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.

amaye15/stanford-dogs dataset hosted on Hugging Face and contributed by the HF Datasets community

"Dog" and "Cat" are the top two answers among U.S. consumers in our survey on the subject of "Household pets".The survey was conducted online among 62,982 respondents in the United States, in 2025. Looking to gain valuable insights about pet owners worldwide? Check out our reports about pet owners across the globe. These reports provide readers with a detailed understanding into pet owners, highlighting their demographics, preferences, opinions, and ways to engage with them effectively.

Activity Recognition On Dogs

## Overview

Activity Recognition On Dogs is a dataset for object detection tasks - it contains Dogs annotations for 707 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Demographic data for dog puppies sampled.

Dog And Puppy Toys Market Outlook

The global dog and puppy toys market size was valued at approximately USD 1.5 billion in 2023 and is expected to reach around USD 2.4 billion by 2032, growing at a CAGR of 5.2% during the forecast period. This impressive growth is driven by various factors, including the increasing pet adoption rates, the rising trend of pet humanization, and the growing awareness towards pet health and well-being.

One of the primary growth factors for the dog and puppy toys market is the surge in pet adoption rates. As more people adopt dogs and puppies, the demand for pet products, including toys, has naturally increased. Pets are now considered integral members of the family, leading to higher spending on their care and entertainment. According to recent surveys, pet ownership has surged, particularly among millennials and Generation Z, who are more likely to treat pets as family members and spend generously on their needs.

Another significant factor contributing to market growth is the trend of pet humanization. This phenomenon has led to pet ownersÂ’ increasing interest in premium and specialized toys for their pets. The demand for toys that not only entertain but also provide physical and mental stimulation has increased. Pet owners are now more educated about their pets' needs and are willing to invest in high-quality, durable, and safe toys. This trend is anticipated to drive the market further as more innovative and varied products enter the market.

Moreover, the growing awareness towards pet health and well-being is a critical factor boosting the dog and puppy toys market. Veterinarians and pet health experts advocate the use of toys to ensure pets receive adequate physical exercise and mental stimulation, which are essential for their overall health. This has led to an increase in demand for toys that can aid in dental health, reduce anxiety, and prevent destructive behavior. Consequently, manufacturers are focusing on developing products that cater to these health benefits, thus propelling market growth.

The rise of High-End Pet Toys is a testament to the growing trend of pet humanization, where pet owners are increasingly treating their pets as family members. This has led to a surge in demand for premium toys that not only entertain but also provide significant health benefits. These toys are often crafted with superior materials and innovative designs to ensure safety and durability, catering to pet owners who are willing to invest in the best for their furry companions. As the market evolves, manufacturers are focusing on creating toys that offer unique features, such as interactive elements and eco-friendly materials, to meet the sophisticated tastes of modern pet owners.

Regionally, North America dominates the dog and puppy toys market, attributed to high pet ownership rates and substantial disposable incomes. However, the Asia Pacific region is expected to witness the fastest growth, driven by increasing pet adoption and rising disposable incomes in countries like China and India. Europe also holds a significant market share due to the high standard of living and strong trend of pet humanization in countries such as Germany, the UK, and France.

Product Type Analysis

The dog and puppy toys market can be segmented by product type into chew toys, interactive toys, plush toys, squeaky toys, and others. Chew toys hold a substantial share of the market due to their benefits in improving dental health and reducing destructive chewing behavior. These toys are designed to be durable and safe, making them a favorite among pet owners who seek long-lasting solutions for their petsÂ’ chewing needs. The increasing awareness of dental hygiene in pets further strengthens the demand for chew toys.

Interactive toys are gaining popularity due to their role in providing mental stimulation and promoting physical activity. These toys, which include puzzle toys and treat-dispensing toys, engage pets in activities that challenge their cognitive abilities and encourage them to play actively. The rising trend of interactive play, especially among urban pet owners who are often away from home, is driving the demand for these toys. They are designed to keep pets occupied, reduce anxiety, and prevent boredom-related issues.

Plush toys, though often perceived as less durable, are popular for their comfort and appeal. These toys are typically p

Domestic dogs are particularly skilled at using human visual signals to locate hidden food. This is, to our knowledge, the first series of studies that investigates the ability of dogs to use only auditory communicative acts to locate hidden food. In a first study, from behind a barrier, a human expressed excitement towards a baited box on either the right or left side, while sitting closer to the unbaited box. Dogs were successful in following the human's voice direction and locating the food. In the two following control studies, we excluded the possibility that dogs could locate the box containing food just by relying on smell, and we showed that they would interpret a human's voice direction in a referential manner only when they could locate a possible referent (i.e. one of the boxes) in the environment. Finally, in a fourth study, we tested 8–14-week-old puppies in the main experimental test and found that those with a reasonable amount of human experience performed overall even better than the adult dogs. These results suggest that domestic dogs’ skills in comprehending human communication are not based on visual cues alone, but are instead multi-modal and highly flexible. Moreover, the similarity between young and adult dogs’ performances has important implications for the domestication hypothesis.

New Dogs

## Overview

New Dogs is a dataset for object detection tasks - it contains Dog annotations for 2,520 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

I1it and I2it are Indicator or Dummy variables indicating the stimulus category (I1it: 1 = African infants, 0 = Caucasian infants; I2it: 1 = dog puppies, 0 = Caucasian infants). Cit represents cuteness category (Cit: 0 = less cute, 1 = cute). Interactions are I1itCit and I2itCit. Robust estimators were used for statistical inference with respect to fixed effects and variance components to account for possible violations of model assumptions, such as normality of Level-2 residuals. Degrees of freedom were computed based on the Satterthwaite’s Approximation to account for the moderate sample size at Level 2 [46]. Therefore, the degrees of freedom were not necessarily integers and could vary across tests independent of the number of parameters.Results of the pre-study (Model 1).