datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cats_vs_dogs
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.cats-vs-dogs-sample
Dataset Card for Dataset Name
Subset of https://huggingface.co/datasets/microsoft/cats_vs_dogs, converted into FiftyOne dataset format.
This is a FiftyOne dataset with 5000 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 =… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/cats-vs-dogs-sample.Stanford-Dogs-Imbalanced
Dataset Card for StanfordDogsImbalanced
This is a FiftyOne dataset with 19060 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/Stanford-Dogs-Imbalanced")
# Launch the App
session = fo.launch_app(dataset)
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/Stanford-Dogs-Imbalanced.stanford-dogs
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.cats-vs-dogs-imbalanced
Dataset Card for cats-vs-dogs-imbalanced
This is a FiftyOne dataset with 2551 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/cats-vs-dogs-imbalanced")
# Launch the App
session = fo.launch_app(dataset)
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/cats-vs-dogs-imbalanced.SDXL-Generated-Stanford-Dogs
Dataset Card for Generated Dogs
10+ images for each class in the Stanford Dogs dataset, but all generated with SDXL. Images were filtered for CLIP score, and cartoonish images were removed.
This is a FiftyOne dataset with 1305 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… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/SDXL-Generated-Stanford-Dogs.Diverse-SDXL-Dogs
Dataset Card for Diverse-SDXL-Dogs
This is a FiftyOne dataset with 181 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/Diverse-SDXL-Dogs")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/Diverse-SDXL-Dogs.SDXL-Dogs
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.stanford-dogs-amplified
Stanford Dogs Amplified (Parquet Edition)
This dataset is an amplified and modernized version of the classic Stanford Dogs Dataset. It builds upon the original 120 dog breeds by automatically fetching, cleaning, and injecting thousands of new high-quality images scraped from Bing, filtered dynamically via YOLO object detection.
This specific repository hosts the dataset natively in Hugging Face's optimized Parquet format.
This means:
It is a strictly "Image Classification" dataset… See the full description on the dataset page: https://huggingface.co/datasets/fedehorl/stanford-dogs-amplified.petfinder-dogs
Dataset Card for "petfinder-dogs"
Dataset Summary
Contains 700k+ 300px-wide images of 150k+ distinct dogs extracted from the PetFinder API in March 2023.
Only those having at least 4 photos are present: Each subject has between 4 and 12 photos.
This dataset aims to simplify AI work based on dogs' images and avoid rescraping thousands of them from the PetFinder API again and again.
aidm-dogs-vs-cats-data
aidm-dogs-vs-cats-data
The images of a dogs-vs-cats image-classification study, in the directory layout that results/splits.json indexes. The run registry, the splits file, the report tables and figures live in the companion results repo; the checkpoints live in the companion model repo.
Provenance
These images are the Kaggle Dogs vs. Cats competition data (https://www.kaggle.com/c/dogs-vs-cats). They are not original work and they are not relicensed here. They… See the full description on the dataset page: https://huggingface.co/datasets/ngqtrung/aidm-dogs-vs-cats-data.tsinghua_dogs
Dataset Card for Dataset Name
Tsinghua Dogs Dataset from https://cg.cs.tsinghua.edu.cn/ThuDogs/
Dataset Details
Dataset Description
Images of dogs divided in classes. The original link above https://cg.cs.tsinghua.edu.cn/ThuDogs/ has also bounding boxes and other annotations.
Curated by: https://cg.cs.tsinghua.edu.cn/ThuDogs/
Funded by [optional]: https://cg.cs.tsinghua.edu.cn/ThuDogs/
License: CC-4.0 Attribution
Dataset Sources [optional]… See the full description on the dataset page: https://huggingface.co/datasets/giacomov/tsinghua_dogs.cats_dogs_dataset
Cats and Dogs Image Classification Dataset
This dataset contains images of cats and dogs, intended for image classification tasks. It includes two classes: "cats" and "dogs".
Dataset Structure
The dataset is structured into two splits:
train: Contains 8000 images for training.
test: Contains 2000 images for testing.
Images are stored in RGB format with a resolution of 128x128 pixels.
Data Loading and Usage
The dataset can be loaded using the Hugging Face… See the full description on the dataset page: https://huggingface.co/datasets/louiecerv/cats_dogs_dataset.Stanford-Dogs
Dataset Card for "Stanford-Dogs"
This is a non-official Stanford-Dogs dataset for fine-grained Image Classification.
If you want to download the official dataset, please refer to the here.
dogsstanford-dogs
Stanford Dogs Dataset
This dataset is a direct hf compatible convert of the Stanford Dogs Dataset.
Content
The dataset contains images of 120 dog breeds from around the world.
Note
This dataset is uploaded as-is without any modifications. All images and labels are from the original Stanford Dogs dataset.
License
Same as the original Stanford Dogs Dataset - for research and educational purposes.
DALL-E-DogsDALL-E-Dogs is a dataset meant to produce a synthetic animal dataset. This is a precursor to DALL-E-Cats. 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_vs_dogs
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/quantumminiproject/cats_vs_dogs.cats_vs_dogs
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.
Supported Tasks and Leaderboards
image-classification
Languages
English
Dataset Structure
Data Instances
A sample from the training set is provided below:
{
'image':… See the full description on the dataset page: https://huggingface.co/datasets/nateraw/cats_vs_dogs.cats_vs_dogs
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/azantariq/cats_vs_dogs.cats_vs_dogs
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/ahmet33589/cats_vs_dogs.aidm-dogs-vs-cats-results
aidm-dogs-vs-cats-results
The experiment record of a dogs-vs-cats image-classification study, with CIFAR-10 and CIFAR-10-LT transfer and class-imbalance ablations. This repo holds the run registry, the splits, the report tables and figures, and the per-run predicted probabilities. It holds no images and no model weights; the checkpoints are in the companion model repo.
Generated by scripts/90_publish_hf.py on 2026-09-22 19:17 UTC. Every count, fingerprint and metric below was… See the full description on the dataset page: https://huggingface.co/datasets/ngqtrung/aidm-dogs-vs-cats-results.dogscats_vs_dogs
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/yassinml/cats_vs_dogs.generated-stanford-dogs
Generated Stanford Dogs Dataset
Description
This repository contains the dataset used for the generative-data-augmentation project. The dataset is organized as follows:
Dataset Structure
analysis/: This directory contains analysis related to the dataset.
metadata/: This directory contains the list of file path used for the Synthetic (Noisy) and Synthetic (Clean) datasets.
synthetic/: This directory contains the image files. Each folder represents a class.… See the full description on the dataset page: https://huggingface.co/datasets/czl/generated-stanford-dogs.