datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
oxford-iiit-pet
The Oxford-IIIT Pet Dataset
Description
A 37 category pet dataset with roughly 200 images for each class. The images have a large variations in scale, pose and lighting.
This instance of the dataset uses standard label ordering and includes the standard train/test splits. Trimaps and bbox are not included, but there is an image_id field that can be used to reference those annotations from official metadata.
Website: https://www.robots.ox.ac.uk/~vgg/data/pets/… See the full description on the dataset page: https://huggingface.co/datasets/timm/oxford-iiit-pet.oxford-pets
Oxford-IIIT Pet Dataset
Images from The Oxford-IIIT Pet Dataset. Only images and labels have been pushed, segmentation annotations were ignored.
Homepage: https://www.robots.ox.ac.uk/~vgg/data/pets/
License:
Same as the original dataset.
oxford-iiit-pet-vl-enriched
Visualize on Visual Layer
Oxford-IIIT-Pets-VL-Enriched
An enriched version of the Oxford IIIT Pets Dataset with image caption, bounding boxes, and label issues!
With this additional information, the Oxford IIIT Pet dataset can be extended to various tasks such as image retrieval or visual question answering.
The label issues help to curate a cleaner and leaner dataset.
Description
The dataset consists of 6 columns:
image_id: Unique identifier for each… See the full description on the dataset page: https://huggingface.co/datasets/visual-layer/oxford-iiit-pet-vl-enriched.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.
oxford-pets-lance
Oxford-IIIT Pet (Lance Format)
A Lance-formatted version of the Oxford-IIIT Pet dataset — 7,390 cat and dog photos across 37 breeds — sourced from pcuenq/oxford-pets. Each row carries the inline JPEG bytes, the breed name, a species flag distinguishing cats from dogs, and a cosine-normalized CLIP image embedding, all available directly from the Hub at hf://datasets/lance-format/oxford-pets-lance/data.
Key features
Inline JPEG bytes in the image column — no sidecar… See the full description on the dataset page: https://huggingface.co/datasets/lance-format/oxford-pets-lance.animalmind-oxford-pet
AnimalMind — Oxford-IIIT Pet (Normalised)
Baseline dataset for the AnimalMind project.Derived from pcuenq/oxford-pets
(Oxford-IIIT Pet Dataset, Parkhi et al. 2012).
What changed
Original
This version
Single rain split
90/10 rain/ est split (seed=42)
label as raw string
reed normalised (underscores removed, title-case)
dog bool field
species string field: dog or cat
Original image sizes
All images resized to 224 x 224 RGB
Multiple columns… See the full description on the dataset page: https://huggingface.co/datasets/firstoff/animalmind-oxford-pet.pets
Dataset Summary
Mini(24 MB) Classification dataset for mini projects.
Cats, dogs and rabbit are included as pet in this dataset.
Supported Tasks and Leaderboards
image-classification: Based on a pet image, the goal of this task is to predict the type of pet (i.e., dog or cat or rabbit).
Languages
English
Class Label Mappings:
{
"cat": 0,
"dog": 1,
"rabbit": 2,
}
Load Dataset
from datasets import load_dataset
train_dataset =… See the full description on the dataset page: https://huggingface.co/datasets/rokmr/pets.Oxford-IIIT-Pet
Dataset Card for "Oxford-IIIT-Pet"
This is a non-official Oxford IIIT Pet dataset for fine-grained Image Classification.
If you want to download the official dataset, please refer to the here.
oxford-iiit-pet
The Oxford-IIIT Pet Dataset
Description
A 37 category pet dataset with roughly 200 images for each class. The images have a large variations in scale, pose and lighting.
This instance of the dataset uses standard label ordering and includes the standard train/test splits. Trimaps and bbox are not included, but there is an image_id field that can be used to reference those annotations from official metadata.
Website: https://www.robots.ox.ac.uk/~vgg/data/pets/… See the full description on the dataset page: https://huggingface.co/datasets/Abhigyan31/oxford-iiit-pet.oxford-pets-grpo
Oxford-IIIT Pet — GRPO training data
GRPO (verl) training data for Oxford-IIIT Pet breed classification. The model classifies the pet directly; the reward scores a whole-token match of the predicted label plus answer format.
Splits: train 2,944 rows, test 3,669 rows.
Schema
column
type
data_source
string
prompt
list<element: struct<content: string, role: string>>
ability
string
reward_model
struct<ground_truth: string, style: string>
images… See the full description on the dataset page: https://huggingface.co/datasets/jucamohedano/oxford-pets-grpo.oxford-pets-grpo-think
Oxford-IIIT Pet — GRPO training data (structured reasoning)
GRPO (verl) training data for Oxford-IIIT Pet breed classification with a structured-reasoning prompt: the model emits a scratchpad tagging visible properties (HasProperty), parts (HasA), and setting (AtLocation) before the label. Reward: 0.30 for a well-formed think block, 0.70 for the label match.
Splits: train 2,944 rows, test 3,669 rows.
Schema
column
type
data_source
string
prompt… See the full description on the dataset page: https://huggingface.co/datasets/jucamohedano/oxford-pets-grpo-think.oxford-iiit-pet-clean
Oxford-IIIT-Pet Cleaned
This dataset is a cleaned and enriched version of the timm/oxford-iiit-pet dataset.Ideally suited for fine-grained image classification tasks, this version addresses common dataset quality issues such as duplicates, corrupt files, and leakage between train/test splits, while preserving the original data structure where appropriate.
Additionally, the train set has been further split into train_clean and validation_clean datasets using an 80/20 split ratio… See the full description on the dataset page: https://huggingface.co/datasets/KPatelis/oxford-iiit-pet-clean.pets
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/KevinTao511/pets.oxford-pets
Oxford-IIIT Pet Dataset
Images from The Oxford-IIIT Pet Dataset. Only images and labels have been pushed, segmentation annotations were ignored.
Homepage: https://www.robots.ox.ac.uk/~vgg/data/pets/
License:
Same as the original dataset.
autotrain-data-petscan
Dataset for project: Pet-Ray
Dataset Description
This G-Ray dataset has been processed by AutoTrain for Pet-Ray.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<1800x4000 RGB PIL image>",
"target": 0
},
{
"image": "<1800x4000 RGB PIL image>",
"target": 0
}
]
Dataset Fields
The dataset has the… See the full description on the dataset page: https://huggingface.co/datasets/Squirrl/autotrain-data-petscan.