Dog And Cats

## Overview

Dog And Cats is a dataset for object detection tasks - it contains Dogs And Cats annotations for 38 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).

Cat Detect

## Overview

Cat Detect is a dataset for object detection tasks - it contains Cats annotations for 3,637 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).

Abstract

This dataset, composed of 440 sounds, contains meows emitted by cats in different contexts. Specifically, 21 cats belonging to 2 breeds (Maine Coon and European Shorthair) have been repeatedly exposed to three different stimuli that were expected to induce the emission of meows:

1. Brushing - Cats were brushed by their owners in their home environment for a maximum of 5 minutes;
2. Isolation in an unfamiliar environment - Cats were transferred by their owners into an unfamiliar environment (e.g., a room in a different apartment or an office). Distance was minimized and the usual transportation routine was adopted so as to avoid discomfort to animals. The journey lasted less than 30 minutes and cats were allowed 30 minutes with their owners to recover from transportation, before being isolated in the unfamiliar environment, where they stayed alone for maximum 5 minutes;
3. Waiting for food - The owner started the routine operations that preceded food delivery in the usual environment the cat was familiar with. Food was given at most 5 minutes after the beginning of the experiment.

The dataset has been produced and employed in the context of an interdepartmental project of the University of Milan (for further information, please refer to this doi). The content of the dataset has been described in detail in a scientific work currently under review; the reference will be provided as soon as the paper is published.

File naming conventions

Files containing meows are in the dataset.zip archive. They are PCM streams (.wav).

Naming conventions follow the pattern C_NNNNN_BB_SS_OOOOO_RXX, which has to be exploded as follows:

• C = emission context (values: B = brushing; F = waiting for food; I: isolation in an unfamiliar environment);
• NNNNN = cat’s unique ID;
• BB = breed (values: MC = Maine Coon; EU: European Shorthair);
• SS = sex (values: FI = female, intact; FN: female, neutered; MI: male, intact; MN: male, neutered);
• OOOOO = cat owner’s unique ID;
• R = recording session (values: 1, 2 or 3)
• XX = vocalization counter (values: 01..99)

Extra content

The extra.zip archive contains excluded recordings (sounds other than meows emitted by cats) and uncut sequences of close vocalizations.

Terms of use

The dataset is open access for scientific research and non-commercial purposes.

The authors require to acknowledge their work and, in case of scientific publication, to cite the most suitable reference among the following entries:

Ntalampiras, S., Ludovico, L.A., Presti, G., Prato Previde, E., Battini, M., Cannas, S., Palestrini, C., Mattiello, S.: Automatic Classification of Cat Vocalizations Emitted in Different Contexts. Animals, vol. 9(8), pp. 543.1–543.14. MDPI (2019).

ISSN: 2076-2615

Ludovico, L.A., Ntalampiras, S., Presti, G., Cannas, S., Battini, M., Mattiello, S.: CatMeows: A Publicly-Available Dataset of Cat Vocalizations. In: Li, X., Lokoč, J., Mezaris, V., Patras, I., Schoeffmann, K., Skopal, T., Vrochidis, S. (eds.) MultiMedia Modeling. 27th International Conference, MMM 2021, Prague, Czech Republic, June 22–24, 2021, Proceedings, Part II, LNCS, vol. 12573, pp. 230–243. Springer International Publishing, Cham (2021).

ISBN: 978-3-030-67834-0 (print), 978-3-030-67835-7 (online)

ISSN: 0302-9743 (print), 1611-3349 (online)

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.

Dogs Vs Cats

## Overview

Dogs Vs Cats is a dataset for object detection tasks - it contains Animals annotations for 1,100 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).

Citation

@article{DBLP:journals/corr/abs-2101-04775, author = {Bingchen Liu and Yizhe Zhu and Kunpeng Song and Ahmed Elgammal}, title = {Towards Faster and Stabilized {GAN} Training for High-fidelity Few-shot Image Synthesis}, journal = {CoRR}, volume = {abs/2101.04775}, year = {2021}, url = {https://arxiv.org/abs/2101.04775}, eprinttype = {arXiv}, eprint = {2101.04775}… See the full description on the dataset page: https://huggingface.co/datasets/huggan/few-shot-grumpy-cat.

This statistic presents the estimated number of cats owned by households in Europe in 2010, 2012, 2014, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023. The cat population in Europe was measured at approximately 129.11 million in 2023.

Dataset

This dataset was created by putdejudomthai

Contents

Predicting cat containment intentions from capability, opportunity and motivation factors of containment.

This statistic shows the estimated percentage of households owning cats in the United Kingdom (UK) from 2011 to 2024. According to the most recent pet population survey, it was estimated that 29 percent of households in the UK owned at least one cat.

Description not specified.........................

This polygon dataset shows the locations of ACT-wide Cat Containment Areas and Declared Cat Containment Areas in the Australian Capital Territory that are legislated by the ACT Government under the Domestic Animals Act 2000. From 1 July 2022, cat containment has been extended across the ACT for cats born on or after 1 July 2022 under Section 84AO(2) of the Act. This means, in ACT-wide cat containment areas, cats born on or after 1 July 2022 must be kept on your premises 24 hours a day. A number of suburbs across the ACT have been declared cat containment areas under the Domestic Animals (Cat Containment) Declaration 2019 (No 1) - Disallowable Instrument DI2019-33. This means in these suburbs that were declared cat containment areas, all cats (regardless of age) must be contained to their premises 24 hours a day.This is a non-asset dataset for information only. The polygons are managed by City Services, Transport Canberra and City Services Directorate (TCCS).Attributes include area name, division and declaration (ACT-wide cat containment area, declared cat containment area).For additional information, please see relevant details below- ACT Government City Services website (https://www.cityservices.act.gov.au/pets-and-wildlife/domestic-animals/cats/cat-containment)- Domestic Animals Act 2000 (https://www.legislation.act.gov.au/View/a/2000-86/current/html/2000-86.html)- Domestic Animals (Cat Containment) Declaration 2019 (No1) - Disallowable Instrument DI2019-33 (https://www.legislation.act.gov.au/View/di/2019-33/current/html/2019-33.html)

navhci/cat-breed-class dataset hosted on Hugging Face and contributed by the HF Datasets community

Dog And Cat Detection

## Overview

Dog And Cat Detection is a dataset for object detection tasks - it contains Dogs Cats annotations for 293 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

This dataset was created by HemalathaaAE

Released under MIT

Contents

The global automatic self-cleaning cat litter box market size reached USD 660.6 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 1,145.5 Million by 2033, exhibiting a growth rate (CAGR) of 6.31% during 2025-2033. The global market for automatic self-cleaning cat litter box is experiencing significant growth due to several key drivers, including the rising awareness regarding pet hygiene and convenience, the increasing integration with smart home technologies, innovations in design and user experience, growing need for time-saving pet care solutions, and commitment to sustainability.

IMARC Group provides an analysis of the key trends in each segment of the global automatic self-cleaning cat litter box market report, along with forecasts at the global, regional, and country levels from 2025-2033. Our report has categorized the market based on product and distribution channel.

The Global Cat Litter Market Report is Segmented by Product Type (Clumping and Conventional), Raw Material (Clay and Silica), Distribution Channel (Specialized Pet Shops, Internet Sales, Hypermarkets, and Other Sales Channels), and Geography (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa). The Report Offers Market Size and Forecasts in Terms of Value (USD) for all the Above Segments.

Cat Classification

## Overview

Cat Classification is a dataset for classification tasks - it contains Cat annotations for 2,339 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 estimated number of cats owned by households in Denmark fluctuated in selected years from 2010 to 2023. The cat population in Denmark was measured at approximately 698,000 in 2023.