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.AnimalLift
AnimalLift
Official dataset for AnimalLift · SIGGRAPH Asia 2026
AnimalLift: Reconstructing Animatable 3D Animals from a Single Image by Learning Canonical Shape, Texture, and Fur Maps
Chunyi Sun¹ · Ruyi Zha¹ · Weijian Deng¹ · Junlin Han² · Dylan Campbell¹ · Stephen Gould¹
¹ Australian National University ² University of Oxford
Code · Model & Checkpoints · Dataset Files
Overview · Download · Dataset Structure · Blender Visualization · Citation · License… See the full description on the dataset page: https://huggingface.co/datasets/Chunyi99/AnimalLift.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.big-animal-dataset-high-res-embedding-with-hidden-states
Dataset Card for "big-animal-dataset-high-res-embedding-with-hidden-states"
More Information needed
animals_with_objects_sdxl
Scendi Score: Prompt-Aware Diversity Evaluation via Schur Complement of CLIP Embeddings
A Hugging Face Datasets repository accompanying the paper "Scendi Score: Prompt-Aware Diversity Evaluation via Schur Complement of CLIP Embeddings".
Code: https://github.com/aziksh-ospanov/scendi-score
Dataset Information
This dataset consists of images depicting various animals next to different objects, generated using SDXL. It is released as a companion to the research paper… See the full description on the dataset page: https://huggingface.co/datasets/aziksh/animals_with_objects_sdxl.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.PUG_Animals
PUG Animals
The PUG: Animals dataset contains 215,040 pre-rendered images based on Unreal-Engine using 70 animal assets, 64 environments, 3 sizes, 4 textures, under 4 camera orientations.
It was designed with the intent to create a dataset with variation factors available. Inspired by research on out-of-distribution generalization, PUG: Animals allows one to precisely control distribution shifts between training and testing which can provide better insight on how a deep neural… See the full description on the dataset page: https://huggingface.co/datasets/facebook/PUG_Animals.AnimalVITON_datasetanimals-10animal-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.animals_with_fruits_dalle3
Scendi Score: Prompt-Aware Diversity Evaluation via Schur Complement of CLIP Embeddings
A Hugging Face Datasets repository accompanying the paper "Scendi Score: Prompt-Aware Diversity Evaluation via Schur Complement of CLIP Embeddings".
Code: https://github.com/aziksh-ospanov/scendi-score
Dataset Information
This dataset consists of images depicting various animals eating different kinds of fruits, generated using DALL-E 3. It is released as a companion to the… See the full description on the dataset page: https://huggingface.co/datasets/aziksh/animals_with_fruits_dalle3.ImageNet15_animals_unbalanced_aug1
Dataset Card for "ImageNet15_animals_unbalanced_aug1"
More Information needed
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.Anima_Lora_Collection
Anima LoRA Collection
个人收集、整理并公开分享的 LoRA 模型合集。
本仓库中的模型主要来自互联网上公开可访问的模型网站、作者主页、社区帖子及其他分享渠道。部分文件收集时间较早，原始页面、作者信息或许可证信息可能已经缺失。
本仓库仅用于个人收藏整理和非商业分享，不提供付费下载，也不代表任何模型作者或发布平台。
重要说明
除非另有明确标注：
本仓库维护者不是所收录 LoRA 的原始作者；
本仓库维护者不主张拥有这些 LoRA 模型权重的版权；
收录某个文件不代表该文件由本仓库制作或训练；
收录某个文件不代表原作者认可、授权或参与本仓库；
文件可以从本仓库下载，不代表该文件可以不受限制地使用、商用或再次分发。
请优先访问模型的原始发布页面，并遵守原作者公布的许可证和使用条款。
版权与许可证
本仓库没有适用于全部文件的统一许可证。
Hugging Face 仓库元数据中的：
license: other… See the full description on the dataset page: https://huggingface.co/datasets/ACCC1380/Anima_Lora_Collection.Animals-10
Rapidata Animals-10
We took this existing Animals-10 dataset from kaggle and cleaned it using Rapidata's crowd, as detailed in this blog post.
If you get value from this dataset and would like to see more in the future, please consider liking it.
Dataset Details
10 classes: Butterfly, Cat, Chicken, Cow, Dog, Elephant, Horse, Sheep Spider, Squirrel
23554 Images
In total, 124k labels were collected by human annotators, so each image is cross-validated on average by 5… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/Animals-10.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.animal_dataset
Animal Dataset from COCO
This dataset contains animal images extracted from the COCO 2017 training set, with two download configurations available.
Dataset Configurations
1. Metadata Configuration (Small Download)
The metadata configuration contains only text metadata and image URLs - no image bytes. This is ideal for quick exploration and when you want to download images yourself.
from datasets import load_dataset
# Load full metadata dataset… See the full description on the dataset page: https://huggingface.co/datasets/nirmalendu01/animal_dataset.LLM-Vision-Marine-Animals
Dataset Card for Benchmarking Large Language Models for Image Classification of Marine Mammals
As Artificial Intelligence (AI) has developed rapidly over the past few decades, the new generation of AI, Large Language Models (LLMs) trained on massive datasets, has achieved ground-breaking performance in many applications. Further progress has been made in multimodal LLMs, with many datasets created to evaluate LLMs with vision abilities. However, none of those datasets focuses… See the full description on the dataset page: https://huggingface.co/datasets/yeyimilk/LLM-Vision-Marine-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.big-animal-dataset
Dataset Card for "big-animal-dataset"
Hi! I combined animals 10 dataset, the oxford pets dataset, stanford dogs dataset, and the cats vs dogs dataset for a large animal dataset.
More Information needed
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_imagesanimals-ij5d2
Dataset Card for animals-ij5d2
** The original COCO dataset is stored at dataset.tar.gz**
Dataset Summary
animals-ij5d2
Supported Tasks and Leaderboards
object-detection: The dataset can be used to train a model for Object Detection.
Languages
English
Dataset Structure
Data Instances
A data point comprises an image and its object annotations.
{
'image_id': 15,
'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB… See the full description on the dataset page: https://huggingface.co/datasets/Francesco/animals-ij5d2.oreilly-animals
The O'Reilly Animal Menagerie
A dataset of animals from the book covers of O'Reilly Media.
Read Edie Freedman's fantastic piece on the history of the O'Reilly animals here: https://www.oreilly.com/content/a-short-history-of-the-oreilly-animals/
Dataset
The dataset has 1414 rows, all sourced from the O'Reilly Menagerie and enriched with metadata.
A JSON-ified row of the dataset:
{
"animal_name": "Flat-Headed Cat, kitten",
"scientific_name": "Prionailurus… See the full description on the dataset page: https://huggingface.co/datasets/christopher/oreilly-animals.animalsmarine-animals-multimodalanimal-imagesanimal_species_SMAIanimal-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.clip-animals-data