Welcome to the "Comprehensive Dog Dataset," a detailed collection of information on 3,000 dogs covering various breeds, ages, weights, colors, and genders. This dataset is designed to be a rich resource for data analysis, visualization, and machine learning projects related to dogs.

📌 Key Features: 🐕 Canine Characteristics: Breed 🏷️: The dog's breed (e.g., Labrador Retriever, Beagle, Golden Retriever, German Shepherd). Age (Years) 📅: The age of the dog, ranging from 1 to 15 years. Weight (kg) ⚖️: The dog's weight in kilograms, ranging from 5 kg to 60 kg. Color 🎨: The dog's color (e.g., Black, White, Brown, Golden, Spotted). Gender ♂️♀️: The dog's gender (Male or Female). 📈 Use Cases & Applications: 🔹 Breed distribution analysis and visualization 🔹 Exploring weight and age correlations among dog breeds 🔹 Building predictive models for canine classification 🔹 Creating interactive dashboards for dog characteristics 🔹 Training AI models for dog breed recognition

⚠️ Important Note: This dataset is synthetically generated for educational and analytical purposes. It is not real-world data but is designed to simulate realistic dog characteristics.

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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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.

Dataset Card for Cats Vs. Dogs

  Dataset Summary

A large set of images of cats and dogs. There are 1738 corrupted images that are dropped. This dataset is part of a now-closed Kaggle competition and represents a subset of the so-called Asirra dataset. From the competition page:

The Asirra data set Web services are often protected with a challenge that's supposed to be easy for people to solve, but difficult for computers. Such a challenge is often called a CAPTCHA… See the full description on the dataset page: https://huggingface.co/datasets/microsoft/cats_vs_dogs.

Stanford Dogs Dataset

## Overview

Stanford Dogs Dataset is a dataset for object detection tasks - it contains Dogs annotations for 1,137 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).

Who doesn't love dogs? 🐕 Those wonderful creatures make our life so much better! So if you love dogs as much as I do, you'd be probably interested in this dataset.

It includes the name of the breed, country of origin, longevity, height, color of fur and eyes, their character traits and typical health problems for each breed.

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).

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.

Here are a few use cases for this project:

1. "Pet Identification App": The model can be used to create an application that helps users identify the breed of their pets or stray dogs. It would be useful for new pet owners, pet shelters, or people considering adoption/rescue.

2. "Dog Breed Study Research": For researchers studying canine genetics, behaviors, or diseases, this model would provide an efficient tool for recognizing different breeds, helping to collect data faster and more accurately.

3. "Virtual Dog Show": In virtual dog shows, this model could be employed to identify and classify the breeds. It could be implemented as part of the pre-judging process to ensure eligibility based on breed.

4. "Lost and Found Assistance": The model could be applied in a lost and found system to identify the breed of lost dogs, helping pet owners and shelters to more rapidly track missing pets.

5. "Pet Service Customization": Businesses offering pet services (like grooming, dog walking, or boarding) could use the model for identifying dog breeds to tailor their services more accurately according to the distinct needs of different breeds.

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 Summary

A dataset from kaggle with duplicate data removed.

  Data Fields

The data instances have the following fields:

image: A PIL.Image.Image object containing the image. Note that when accessing the image column: dataset[0]["image"] the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the "image" column, i.e. dataset[0]["image"]… See the full description on the dataset page: https://huggingface.co/datasets/Bingsu/Cat_and_Dog.

Dog Breed Detection 2

## Overview

Dog Breed Detection 2 is a dataset for classification tasks - it contains Dogs Ub9z annotations for 17,390 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).

Cute Dogs

## Overview

Cute Dogs is a dataset for object detection tasks - it contains Hazmat Sign annotations for 679 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).

The data comes from the American Kennel Club courtesy breed_traits - trait information on each dog breed and scores for each trait (wide format) trait_description - long descriptions of each trait and values corresponding to Trait_Score breed_rank_all- popularity of dog breeds by AKC registration statistics from 2013-2020

Data Dictionary

breed_traits_long.csv

variable	class	description
Breed	character	Dog Breed
Trait	character	Name of trait/characteristic
Trait_Score	character	Placement on scale of 1-5 for the trait, with the exception of a description for coat type and length

breed_traits.csv

variable	class	description
Breed	character	Dog Breed
Affectionate With Family	character	Placement on scale of 1-5 for the breed's tendancy to be "Affectionate With Family" (Trait_Score)
Good With Young Children	character	Placement on scale of 1-5 for the breed's tendancy to be "Good With Young Children" (Trait_Score)
Good With Other Dogs	character	Placement on scale of 1-5 for the breed's tendancy to be "Good With Other Dogs" (Trait_Score)
Shedding Level	character	Placement on scale of 1-5 for the breed's "Shedding Level" (Trait_Score)
Coat Grooming Frequency	character	Placement on scale of 1-5 for the breed's "Coat Grooming Frequency" (Trait_Score)
Drooling Level	character	Placement on scale of 1-5 for the breed's "Drooling Level" (Trait_Score)
Coat Type	character	Description of the breed's coat type (Trait_Score)
Coat Length	character	Description of the breed's coat length (Trait_Score)
Openness To Strangers	character	Placement on scale of 1-5 for the breed's tendancy to be open to strangers (Trait_Score)
Playfulness Level	character	Placement on scale of 1-5 for the breed's tendancy to be playful (Trait_Score)
Watchdog/Protective Nature	character	Placement on scale of 1-5 for the breed's "Watchdog/Protective Nature" (Trait_Score)
Adaptability Level	character	Placement on scale of 1-5 for the breed's tendancy to be adaptable (Trait_Score)
Trainability Level	character	Placement on scale of 1-5 for the breed's tendancy to be adaptable (Trait_Score)
Energy Level	character	Placement on scale of 1-5 for the breed's "Energy Level" (Trait_Score)
Barking Level	character	Placement on scale of 1-5 for the breed's "Barking Level" (Trait_Score)
Mental Stimulation Needs	character	Placement on scale of 1-5 for the breed's "Mental Stimulation Needs" (Trait_Score)

trait_description.csv

variable	class	description
Trait	character	Dog Breed
Trait_1	character	Value corresponding to Trait when Trait_Score = 1
Trait_5	character	Value corresponding to Trait when Trait_Score = 5
Description	character	Long description of trait

breed_rank_all.csv

variable	class	description
Breed	character	Dog Breed
2013 Rank	character	Popularity of breed based on AKC registration statistics in 2013
2014 Rank	character	Popularity of breed based on AKC registration statistics in 2014
2015 Rank	character	Popularity of breed based on AKC registration statistics in 2015
2016 Rank	character	Popularity of breed based on AKC registration statistics in 2016
2017 Rank	character	Popularity of breed based on AKC registration statistics in 2017
2018 Rank	character	Popularity of breed based on AKC registration statistics in 2018
2019 Rank	character	Popularity of breed based on AKC registration statistics in 2019
2020 Rank	character	Popularity of breed based on AKC registration statistics in 2020
links	character	Link to the dog breed's AKC webpage
Image	character	Link to image of dog breed

Dogs Behavior

## Overview

Dogs Behavior is a dataset for object detection tasks - it contains Dog Behaviors annotations for 350 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).

Dog Breeds 3

## Overview

Dog Breeds 3 is a dataset for object detection tasks - it contains Dogs annotations for 210 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).

Dataset Card for Generated Dogs

10+ images for each class in the Stanford Dogs dataset, but all generated with SDXL. Images were filtered for CLIP score, and cartoonish images were removed.

This is a FiftyOne dataset with 1305 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… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/SDXL-Generated-Stanford-Dogs.

Dataset Card for the Dog 🐶 vs. Food 🍔 (a.k.a. Dog Food) Dataset

  Dataset Summary

This is a dataset for binary image classification, between 'dog' and 'food' classes. The 'dog' class contains images of dogs that look like fried chicken and some that look like images of muffins, and the 'food' class contains images of (you guessed it) fried chicken and muffins 😋

  Supported Tasks and Leaderboards

TBC

  Languages

The labels are in English (['dog'… See the full description on the dataset page: https://huggingface.co/datasets/sasha/dog-food.

Dataset Card for DogPoseCV

This dataset contains 20,578 images of dogs in various poses, labeled as standing, sitting, lying down, or undefined. It is intended for computer vision tasks to identify a dog's behavior from images.

  Dataset Details

Curated by: Jason Stock and Tom Cavey, Computer Science, Colorado State University Paper: arxiv.org/abs/2101.02380 (BibTeX) Repository: github.com/stockeh/canine-embedded-ml

The dataset is intended to be used to train computer… See the full description on the dataset page: https://huggingface.co/datasets/stockeh/dog-pose-cv.

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