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.

A dataset containing 5 common dog's breeds: 1. French Bulldog 2. German Shephard 3. Golden Retriever 4. Poodle 5. Yorkshire Terrier

Dataset used for image classification and image detection.

Enjoy Using! 😄 Cat's Breed Dataset Chatbot AI Q&A Countries GDP

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).

A compiled summary of current U.S. puppy mill statistics: estimated numbers of puppy mills, breeding dogs and puppies sold, USDA-licensed dog breeders, USDA inspection and enforcement figures for 2025, Horrible Hundred problem breeders by state for 2025 and 2026, and state laws banning pet-store puppy sales. Figures come from Humane World for Animals, the ASPCA, the USDA Office of Inspector General and state legislatures; most population counts are estimates by the source.

Dog breeds separated by size class, number of litters and total puppies per breed included in our study, as well as average body mass per litter and average age at collection of sample.

The Cat and Dog Classification dataset is a standard computer vision dataset that involves classifying photos as either containing a dog or a cat. This dataset is provided as a subset of photos from a much larger dataset of approximately 25 thousands.

The dataset contains 24,998 images, split into 12,499 Cat images and 12,499 Dog images. The training images are divided equally between cat and dog images, while the test images are not labeled. This allows users to evaluate their models on unseen data.

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This dataset is proposed for the Re-ID study, which contains a total of 1657 images of 192 dogs. On average, there are 9 images per dog. When we took the data, we collected as many images as possible with different postures and different perspectives.

6 Dog Breeds

## Overview

6 Dog Breeds is a dataset for object detection tasks - it contains Dogs annotations for 1,257 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).

This data set contains information about 277 breeds and was extracted from the American Kennel Club website. All rights to the information contained here belong to them. This was created as a pastime project during the COVID-19 quarantine and is intended to be used for statistical analysis, as well as machine learning and natural language processing projects.

Acknowlegement

Foto von Pauline Loroy auf Unsplash

Dataset Card for SDXL Dogs

Images of dogs breeds in the Stanford Dogs dataset, generated by SDXL

This is a FiftyOne dataset with 191 samples.

  Installation

If you haven't already, install FiftyOne: pip install -U fiftyone

  Usage

import fiftyone as fo import fiftyone.utils.huggingface as fouh

Load the dataset

Note: other available arguments include 'max_samples', etc

dataset = fouh.load_from_hub("Voxel51/SDXL-Dogs")

Launch the App

session =… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/SDXL-Dogs.

Dataset Card for Everything About Dogs Dataset

This dataset is built from the book Everything About Dogs Everything about dogs is a book by AL G Eberhart. The book contains topics on diseases, how to feed, environment to provide, how to take care of pups and everything about dogs.

  Motivation








  In Memory of Caspu

Dogs can't speak but they can express their pain. However this expression is often misunderstood or ignored. My I aim is to build a… See the full description on the dataset page: https://huggingface.co/datasets/SparkleDark/Everything_about_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… See the full description on the dataset page: https://huggingface.co/datasets/rokmr/pets.

Small sample of the Kaggle Cats and Dogs dataset (https://www.kaggle.com/c/dogs-vs-cats/data).

Contains 1000 images for the train set (500 cats and 500 dogs), and 400 images for the test set (200 each).

Complete data and code package for a forward simulation study comparing four keeper-selection strategies for managing genetic diversity in closed purebred dog populations: outlier index (OI), average genetic relatedness (AGR), internal relatedness (IR), and random selection.Founder populations of 200 real dogs with 33-locus STR microsatellite genotypes were bred forward for 20 generations, 50 replicates per breed, across three breeds with distinct bottleneck histories: Standard Poodle, Doberman Pinscher, and Flat-Coated Retriever. Selection acts on which puppies are kept, not on which parents are bred.Contentsmanuscript/ — manuscript (DOCX, authoritative; Markdown extraction provided for accessibility), submission-resolution figures (Figures 1–4 and Supplementary Figures S1–S2), supplementary tables S1–S6 in XLSX, and the Supplementary Figure S2 source data (per-dog outlier index, average genetic relatedness, and Mid-Century Bottleneck ancestry percentage for 632 Standard Poodles under anonymous study codes)simulation/ — the main study runner (outlier index, average genetic relatedness, internal relatedness and random keeper selection) and the threshold-sensitivity runner behind Supplementary Table S6, the WordPress founder-seeding and orchestration source (php/), per-replicate and per-generation results for all 50 replicates across three breeds, and 33-locus STR genotypes for the 4,835 drawn founders (3,540 Standard Poodles, 859 Doberman Pinschers, 436 Flat-Coated Retrievers), identified by study codes onlyAnonymisation. All released data are anonymised. Dogs carry study codes only; no registered names, owner details, database identifiers, or other identifying fields appear in any file. Founder genotypes and the Supplementary Figure S2 dataset use separate, unlinked code spaces.Licensing. Code is released under the MIT License; data, manuscript, and figures under CC-BY-4.0. See LICENSE-CODE and LICENSE-DATA in the archive.

dogs computer vision dataset by Vineethmp. Browse annotations, train YOLO models, and deploy on Ultralytics Platform.

The Dogs vs Cats Dataset is a binary image classification dataset used in computer vision and machine learning. It contains labeled images of dogs and cats for training, testing, and benchmarking deep learning models.

🐾 US Shelter Dogs — PetFinder Adoption Dataset

A cleaned and enriched dataset of 49,036 real adoptable dogs from US shelters and rescues, originally collected from the PetFinder API on September 20, 2019.

  Dataset Description

Each row represents a single adoptable dog with:

Rich text descriptions written by shelters/rescues (median 708 characters) Breed information (216 unique breeds, primary + secondary + mixed flag) Demographics: age class, sex, size, coat type… See the full description on the dataset page: https://huggingface.co/datasets/quocnam1012/shelter-dogs.

Browse 50 popular dog breeds with details on origin, size, weight, height, temperament, lifespan, group, and hypoallergenic status. Free CSV preview — sort, filter, and inspect in your browser.

ImageWoof is a challenging 12,954-image subset of ImageNet with 10 dog breeds, built for fine-grained image classification training and benchmarking.

ANIMAL: puppies, old scan: E06. Language as given: