datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
animal-clef-2026
AnimalCLEF26 Kaggle Competition Dataset
This is a HuggingFace mirror of the official AnimalCLEF26 competition dataset. Images have been repackaged into one zipfile per split, which include additional metadata that makes the dataset easier to use with HuggingFace. Otherwise, no files have been changed.
Loading
from datasets import load_dataset
dataset = load_dataset("BVRA/animal-clef-2026")
print(dataset["train"][0]["image"])
Documentation
For… See the full description on the dataset page: https://huggingface.co/datasets/BVRA/animal-clef-2026.animalclef2026-segmented
AnimalCLEF2026 Segmented
This Hugging Face dataset repo provides segmented and preprocessed derivatives of the official AnimalCLEF26 dataset released through the Kaggle competition:
AnimalCLEF26 @ CVPR & CLEF Kaggle Competition
The dataset was processed by applying animal segmentation to the original competition images in order to reduce background noise and improve downstream animal re-identification and classification experiments.
This repository is packaged in imagefolder… See the full description on the dataset page: https://huggingface.co/datasets/bassatbassat/animalclef2026-segmented.marine-animals-multimodal-dataset
Marine Animals Multimodal Dataset 🐋
A comprehensive multimodal dataset combining audio recordings and images of 32 marine species.
Dataset Summary
Total samples: 24,911
Species: 32
Audio files: 1,357 unique recordings
Images: 581 (309 matched + 272 from iNaturalist)
Features
species (string): Species name
label (int32): Numeric label (0–31)
audio (Audio): Audio recording of the species
image (Image): Species image
image_index (int32): Image number… See the full description on the dataset page: https://huggingface.co/datasets/Hariprasath5128/marine-animals-multimodal-dataset.animal-wildlife
Dataset Card for Dataset Name
This dataset is a port of the "Animal Image Dataset" that you can find on Kaggle.
The dataset contains 60 pictures for 90 types of animals, with various image sizes.
With respect to the original dataset, I created the train-test-split partitions (80%/20%) to make it compatible via HuggingFace datasets.
Note. At the time of writing, by looking at the Croissant ML Metadata, the original license of the data is sc:CreativeWork. If you believe this dataset… See the full description on the dataset page: https://huggingface.co/datasets/lucabaggi/animal-wildlife.Animal_Image_Classification_DatasetDataset Summary:
The Animal Image Classification Dataset is a comprehensive collection of images tailored for the development and evaluation of machine learning models in the field of computer vision. It contains 3,000 JPG images, carefully segmented into three classes representing common pets and wildlife: cats, dogs, and snakes.
Dataset Contents:
cats/: A set of 1,000 JPG images of cats, showcasing a wide array of breeds, environments, and postures.
dogs/: A diverse compilation of 1,000 dog… See the full description on the dataset page: https://huggingface.co/datasets/AlvaroVasquezAI/Animal_Image_Classification_Dataset.fake-animals
Fake Animals
This dataset is a collection of 10 types of animal images created using Stable Diffusion 3.5 Large.
Dataset Details
Dataset Description
All images have a resolution of 1024x1024 and are divided into training and test sets with 1000 and 500 images, respectively. The classes are as follows:
'0': cat
'1': dog
'2': elephant
'3': fish
'4': giraffe
'5': horse
'6': lion
'7': penguin
'8': rabbit
'9': tiger
The data was generated according to the… See the full description on the dataset page: https://huggingface.co/datasets/Prgckwb/fake-animals.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.animals-subsets
Animal Subsets (Train/Test)
Compact subset from local animals images.
Splits
train: 300 images (100 cats, 100 dogs, 100 panda)
test: 90 images (30 cats, 30 dogs, 30 panda)
Directory layout
train/cats/*.jpg
train/dogs/*.jpg
train/panda/*.jpg
test/cats/*.jpg
test/dogs/*.jpg
test/panda/*.jpg
animal-clef-2026
AnimalCLEF26 Kaggle Competition Dataset
This is a HuggingFace mirror of the official AnimalCLEF26 competition dataset. All files existing in the original Kaggle dataset are unchanged, this mirror just adds additional Parquet metadata that make the dataset easier to use with HuggingFace.
Loading
from datasets import load_dataset
dataset = load_dataset("BVRA/animal-clef-2026")
print(dataset["train"][0]["image"])
Documentation
For documentation, see… See the full description on the dataset page: https://huggingface.co/datasets/timmhaucke/animal-clef-2026.autotrain-data-animal-image-classification
AutoTrain Dataset for project: animal-image-classification
Dataset Description
This dataset has been automatically processed by AutoTrain for project animal-image-classification.
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": "<366x274 RGB PIL image>",
"target": 0
},
{
"image": "<367x274 RGB PIL image>",
"target":… See the full description on the dataset page: https://huggingface.co/datasets/BalajiAIdev/autotrain-data-animal-image-classification.Animalsanimal_image_classificationAnimals_dataset
Animals Dataset
Dataset Description
This dataset contains images of three animal categories: cats, dogs, and pandas.
Dataset Structure
The dataset is organized into training and testing splits:
Animals_dataset/
├── train/
│ ├── cats/
│ ├── dogs/
│ └── panda/
└── test/
├── cats/
├── dogs/
└── panda/
Dataset Statistics
Total Images: 600
Training Images: 480 (80.0%)
Testing Images: 120 (20.0%)
Class Distribution
Training… See the full description on the dataset page: https://huggingface.co/datasets/Melisa13/Animals_dataset.Animal_Image_Classification_DatasetDataset Summary:
The Animal Image Classification Dataset is a comprehensive collection of images tailored for the development and evaluation of machine learning models in the field of computer vision. It contains 3,000 JPG images, carefully segmented into three classes representing common pets and wildlife: cats, dogs, and snakes.
Dataset Contents:
cats/: A set of 1,000 JPG images of cats, showcasing a wide array of breeds, environments, and postures.
dogs/: A diverse compilation of 1,000 dog… See the full description on the dataset page: https://huggingface.co/datasets/Jogitha/Animal_Image_Classification_Dataset.animal_image_classificationAnimalSnaps-Labeled
AnimalSnaps-Labeled
Collection Protocol
Images were collected by volunteers using mobile phones in public parks between March and May 2025. Each image was independently labeled by two annotators; disagreements were resolved by a senior annotator. Blurry or duplicate images were discarded before labeling.
Label Distribution
Label
Count
Percentage
cat
30
37.5%
dog
25
31.2%
bird
15
18.8%
fox
10
12.5%
golden-data-animals
Golden Data: Washin Animal Village
1554 high-quality animal images.
AnimalSnaps-Labeled
AnimalSnaps-Labeled
Collection Protocol
Images were collected by volunteers using mobile phones in public parks between March and May 2025. Each image was independently labeled by two annotators; disagreements were resolved by a senior annotator. Blurry or duplicate images were discarded before labeling.
Label Distribution
Label
Count
Percentage
cat
30
37.5%
dog
25
31.2%
bird
15
18.8%
fox
10
12.5%
animal-humananimals-dataset
Animals Dataset
Dataset containing cats, dogs and pandas images split into training and testing subsets.