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.

As of 2025, approximately 42 percent of consumers in the United States with over 50k$ household income considered it important for the food to have natural ingredients. A high percentage of pet owners also found the price important factors to keep in mind when making a purchasing decision.

This model is based on how house cats utilize wildlands near human habituation. These predators can have detrimental effects on wildlife populations (Alterio et al. 1998). We based our model on the data collected by Odell and Knight (2001) that investigated habitat utilization of these predators with regard to distance from housing and on the probability for a homeowner to possess a house cat. We buffered the populated areas distance layer in ARC/INFO using a probability function [P = 0.216 - 0.96 * Distance (km)] where any cell with distance less than 0.18km received a probability between 0.216 to 0. All distances greater than or equal to 0.18km from populated areas were assigned a probability of 0. The resulting dataset was then resampled to 180m using the bilinear interpolation option.

DALL-E-Cats is a dataset meant to produce a synthetic animal dataset. This is a successor to DALL-E-Dogs. DALL-E-Dogs and DALL-E-Cats will be fed into an image classifier to see how it performs. This is under the BirdL-AirL License.

CaTS-Bench Dataset

A comprehensive benchmark for evaluating multi-modal models on time series understanding, captioning, and reasoning tasks across diverse domains.

  Quickstart





  Install

git clone

After downloading the dataset

tar -xzvf CaTSBench.tar.gz

  Run and evaluate

Run inference on a pre-trained model:

Text + Image evaluation (multimodal)

python -m source.inference.llama_infer

Other supported… See the full description on the dataset page: https://huggingface.co/datasets/neurips2025submission/CaTS-Bench.

MeowMLCategorization

tags: Image Classification, Domestic Cats, Species Recognition Note: This is an AI-generated dataset so its content may be inaccurate or false Dataset Description: The "MeowMLCategorization" dataset comprises a collection of high-resolution images labeled with metadata for the purpose of training machine learning models in the domain of cat image classification. The dataset has been carefully curated to include a diverse array of domestic cat breeds and… See the full description on the dataset page: https://huggingface.co/datasets/asoria/MeowMLCategorization.