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.

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.

Description

This dataset contains a collection of images for 10 different dog breeds, meticulously gathered and organized to facilitate various computer vision tasks such as image classification and object detection. The dataset includes the following breeds:

• Golden Retriever
• German Shepherd
• Labrador Retriever
• Bulldog
• Beagle
• Poodle
• Rottweiler
• Yorkshire Terrier
• Boxer
• Dachshund

Each breed is represented by 100 images, stored in separate directories named after the respective breed. The images have been curated to ensure diversity and relevance, making this dataset a valuable resource for training and evaluating machine learning models in the field of computer vision.

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.

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).

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.

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.

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.

Demographic, psychographic, geographic and brand-affinity data for the Puppies audience in United States, sourced from Rascasse's panel of 12+ social and digital signals.

Demographic data for dog puppies sampled.

Dog Identification

## Overview

Dog Identification is a dataset for object detection tasks - it contains Dogs annotations for 930 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).

Object detection dataset featuring various breeds of dogs and domestic cats in diverse indoor and outdoor settings, captured from close-up and eye-level views.

此資料集包含資產 I love puppies 在未來 16 年的預測價格。此數據最初是使用預設的 5% 年增長獎勵率計算的，頁面加載後，它具有滑動比例組件，使用者可以根據自己的正面或負面預測進一步調整增長獎勵率。最高可調正獎勵率為 100%，最低可調獎勵率為 -100%。

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

A large set of images of cats and dogs. There are 1738 corrupted images that are dropped.

To use this dataset:

import tensorflow_datasets as tfds

ds = tfds.load('cats_vs_dogs', split='train')
for ex in ds.take(4):
 print(ex)

See the guide for more informations on tensorflow_datasets.

https://storage.googleapis.com/tfds-data/visualization/fig/cats_vs_dogs-4.0.1.png" alt="Visualization" width="500px">

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.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F7367057%2F498b0fc0a7a8cf40ac4337da82a4ebc5%2Fhow-to-introduce-a-dog-to-a-cat-blog-cover.webp?generation=1696702214010539&alt=media" alt="">

Dog runs are large, fenced-in areas for dogs to exercise unleashed during park hours. Each record in this dataset is an individual dog run. Planimetrics have ensured good GIS quality of the data.

User guide: https://drive.google.com/open?id=1_LB-hb9eJ9Bph7K2Yf06_KOtra8qKppbPnfSyH1lRUg Data Dictionary: https://drive.google.com/open?id=1a3vdtIHUTUl2wokZ1r3fot8wm-lrnKGXYL-6xU5Fj2A

The pet population in China has increased steadily in the past years. In 2021, around *** million pets were held in Chinese households, ranging from mammals to reptiles. Forecasts showed that the pet population in China would exceed *** million in 2022. Cats and dogs remained the most popular pets among Chinese pet lovers. The rising pet economy in China China’s urban pet market has taken off in recent years, driven by the fast-rising rate of pet ownership and changing perceptions of the role of pets in Chinese households. For most urban pet owners, pets are no longer considered just domestic animals but indispensable family members or even their “fur babies.” The new generation of pet owners are also more generous in paying for their beloved animals. Estimates showed that Chinese pet owners would spend over ***** yuan a year on their cats or dogs. Unregulated market behind China’s pet crazes The unstoppable pet trends in China were primarily fueled by social media. With short-video platforms packed with funny puppy and kitten videos, creating an increasing number of pet influencers. However, behind the phenomenal crazes for pets, an unregulated market is cause for concern. According to a survey in 2021, ** percent of cats and ** percent of the dogs were purchased online. In May 2021, more than *** puppies and kittens were found in courier’s vehicles, dying or distressed. They were sold as “blind boxes” online by unauthorized merchants.

Dog & Cat Breeds 2

## Overview

Dog & Cat Breeds 2 is a dataset for object detection tasks - it contains Dogs Cats N7zC annotations for 4,160 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).