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.

Puppies

## Overview

Puppies is a dataset for object detection tasks - it contains Puppy annotations for 477 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 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.

The Stanford Dogs Dataset is a curated collection of dog images extracted from the larger ImageNet repository. It is tailored for fine-grained image classification tasks and contains examples from 120 distinct dog breeds. Each breed’s images are organized into separate folders to facilitate easy navigation and use in research and machine learning experiments. This dataset is widely used in computer vision to benchmark algorithms for object recognition, localization, and species-specific classification tasks.

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

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.

uses images from @misc{ dog-qabtf_dataset, title = { dog Dataset }, type = { Open Source Dataset }, author = { Sandman }, howpublished = { \url{ https://universe.roboflow.com/sandman-jvdr7/dog-qabtf } }, url = { https://universe.roboflow.com/sandman-jvdr7/dog-qabtf }, journal = { Roboflow Universe }, publisher = { Roboflow }, year = { 2023 }, month = { apr }, note = { visited on 2023-10-15 }, }

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.

A massive collection of cats and dogs.

• Mass Instagram Downloads From Popular Cat and Dog Pages
• Public Facing Official Datasets Such As Oxford-IIIT Pet Dataset
• Public Facing Kaggle Datasets (Shoutout if your cats and dogs made it in)
• Google Images Cats And Dogs

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

Cats & Dogs Labeled

## Overview

Cats & Dogs Labeled is a dataset for object detection tasks - it contains Cats And Dogs annotations for 975 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).

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).

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.

Summary of evidence for hypotheses 1–5 in wolf puppies, dog puppies, and adult dogs.

Explore the Dog Breed Image Dataset featuring 1,000 labeled images across 10 distinct dog breeds. Ideal for image classification, breed recognition, object detection, and computer vision model training.

Flickr Dog

## Overview

Flickr Dog is a dataset for classification tasks - it contains Dogs annotations for 374 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 "big-animal-dataset"

Hi! I combined animals 10 dataset, the oxford pets dataset, stanford dogs dataset, and the cats vs dogs dataset for a large animal dataset. More Information needed

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.

diffusers/dog-example dataset hosted on Hugging Face and contributed by the HF Datasets community