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.

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.

Dataset

This dataset was created by Pranjal15195Gaur

Released under MIT

Contents

Dataset

This dataset was created by TheCarbyneUniverse

Contents

Dogs and Cats Online Data

Cats Vs Dogs

## Overview

Cats Vs Dogs is a dataset for object detection tasks - it contains Detection annotations for 249 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).

Analysis of ‘🐕 Cat VS Dog popularity per state’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/cat-vs-dog-popularity-in-u-se on 13 February 2022.

--- Dataset description provided by original source is as follows ---

About this dataset

http://i.imgur.com/LGI7wTt.png" alt="Imgur" style="">

This dataset was created by Andrew Duff and contains around 0 samples along with Percentage Of Cat Owners, Mean Number Of Dogs Per Household, technical information and other features such as: - Percentage Of Households With Pets - Mean Number Of Cats - and more.

How to use this dataset

• Analyze Percentage Of Dog Owners in relation to Number Of Pet Households (in 1000)
• Study the influence of Percentage Of Cat Owners on Mean Number Of Dogs Per Household
• More datasets

Acknowledgements

If you use this dataset in your research, please credit Andrew Duff

Start A New Notebook!

--- Original source retains full ownership of the source dataset ---

Dataset

This dataset was created by Sarat Chinni

Released under CC0: Public Domain

Contents

Dogs and Cats Online Data 2023-2024

Dataset

This dataset was created by YASSYN IDAR

Contents

The data provided includes: serial number, year, county and city code, county and city, total estimated number of pet dogs, total estimated number of pet cats, total estimated number of stray dogs, and remarks.

Dogs and Cats Online Data 2022-2023

A small audio dataset generated from YouTube videos. The dataset has 566 cat sounds and 484 dog sounds. This was used as a contextual data source for research into contextual machine learning.

All efforts have been made to ensure this dataset was collected in line with copyright legislation regarding fair use. All samples were collected via YouTube and any derivative works of this provided dataset must reference YouTube and the author of this dataset.

This work was completed during a PhD programme at the University Of Greenwich.

Dogs and cats have become the most important and successful pets through long-term domestication. People keep them for various reasons, such as their functional roles or for physical or psychological support. However, why humans are so attached to dogs and cats remains unclear. A comprehensive understanding of the current state of human preferences for dogs and cats and the potential influential factors behind it is required. Here, we investigate this question using two independent online datasets and anonymous questionnaires in China. We find that current human preferences for dog and cat videos are relatively higher than for most other interests, with video plays ranking among the top three out of fifteen interests. We also find genetic variations, gender, age, and economic development levels notably influence human preferences for dogs and cats. Specifically, dog and cat ownership are significantly associated with parents’ pet ownership of dogs and cats (Spearman’s rank correlation c..., , , # Human preferences for dogs and cats in China: the current situation and influencing factors of watching online videos and pet ownership

https://doi.org/10.5061/dryad.qfttdz0rr

This dataset contains three CSV data files, each corresponding to one of the three parts described in the study.

Description of the data and file structure

**“1, bilibili.csv†**: contains data extracted from the Bilibili website. Each row in the dataset represents yearly data for each popular channel. Missing data are indicated with NA.

• ID:Â The serial number for each video, ranging from 1 to 167368.
• year: The year the video was published on the website, from 2009 to 2021.
• Videourl:Â The URL of the video.
• plays:Â The total number of plays for the video.
• likes: The total number of likes for the video.
• sort: The ranking of the video in terms of play count among all popular videos in its channel for that year.
• channelID: The I...

jamieoliver/cats-vs-dogs dataset hosted on Hugging Face and contributed by the HF Datasets community

S Cats

## Overview

S Cats is a dataset for object detection tasks - it contains Dogs annotations for 754 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).

Charles95/cats-vs-dogs dataset hosted on Hugging Face and contributed by the HF Datasets community

This dataset is a modelled dataset, describing the upper estimate of cat ownership characteristics per household at a postcode district level(e.g. YO41). This dataset gives the mean household owership rate for each district, and was generated as part of the delivery of commissioned research. The data contained within this dataset are modelled figures, based on upper 95th percentile national estimates for pet population, and available information on Veterinary activity across GB. The data are accurate as of 01/01/2015. The data provided are summarised to the postcode district level. Further information on this research is available in a research publication by James Aegerter, David Fouracre & Graham C. Smith, discussing the structure and density of pet cat and dog populations across Great Britain. Attribution statement:

pantelism/cats-vs-dogs dataset hosted on Hugging Face and contributed by the HF Datasets community

This dataset is a modelled dataset, describing the mean dog ownership characteristics per household at a postcode district level(e.g. YO41). This dataset gives the mean household owership rate for each district, and was generated as part of the delivery of commissioned research. The data contained within this dataset are modelled figures, based on national estimates for pet population, and available information on Veterinary activity across GB. The data are accurate as of 01/01/2015. The data provided are summarised to the postcode district level. Further information on this research is available in a research publication by James Aegerter, David Fouracre & Graham C. Smith, discussing the structure and density of pet cat and dog populations across Great Britain. Attribution statement: