datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
iNaturalist2021
iNaturalist 2021
This dataset is collected from https://github.com/visipedia/inat_comp/tree/master/2021
iNat-XC-1000
iNat-XC-1000
A multi-modal bird species classification dataset consisting of the sightings of 1000 bird species from two citizen science projects: iNaturalist and Xeno Canto.
i1-inaturalist-tfrecordi1: A Simple and Fully Open Recipe for Strong Text-to-Image Models
Boya Zeng, Tianze Luo, Shu Pu, Jucheng Shen, Taiming Lu, Gabriel Sarch, Zhuang Liu
Princeton University
[arXiv][code][model][project page]
Overview
To prepare the dataset for training, we store the image-caption pairs as TFRecords.
This HuggingFace dataset contains the TFRecords corresponding to the inaturalist dataset at 256×256 resolution.
It also serves as an example of what a dataset processed using… See the full description on the dataset page: https://huggingface.co/datasets/zlab-princeton/i1-inaturalist-tfrecord.iNatAgiNatAg is a large-scale dataset derived from the iNaturalist dataset, designed for species classification and crop/weed classification in agricultural and ecological applications. It consists of 2,959 species with a breakdown of 1,986 crop species and 973 weed species.The dataset contains a total of 4,720,903 images, making it one of the largest and most diverse datasets available for plant species identification and classification.
We also developed a subset of the iNatAg dataset for… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/iNatAg.inatFGVC5iNat-2021-traininat_2021_train_mini_plantae
Dataset Card for "inat_2021_train_mini_plantae"
More Information needed
iNatAg-miniiNatAg is a large-scale dataset derived from the iNaturalist dataset, designed for species classification and crop/weed classification in agricultural and ecological applications. It consists of 2,959 species with a breakdown of 1,986 crop species and 973 weed species.The dataset contains a total of 4,720,903 images, making it one of the largest and most diverse datasets available for plant species identification and classification.
We also developed a subset of the iNatAg dataset for… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/iNatAg-mini.inatSpiders
Dataset Card for "inatSpiders"
More Information needed
inatspectro-bioacoustics
iNatSpectro Bioacoustics
A community-contributed dataset of bioacoustic call annotations pointing at iNaturalist audio observations. Contributions are made via the iNatSpectro browser extension: a user listens to and views the spectrogram of an iNaturalist recording, marks a call, and submits a pointer to the source recording plus the marked time/frequency bounding box. Each record carries the observation's quality_grade, so consumers can scope training to research-grade data… See the full description on the dataset page: https://huggingface.co/datasets/japht/inatspectro-bioacoustics.inaturalist-s3-massiveSnapshot of the iNaturalist dataset from 2026-03-27.
NOTE This dataset only contains images with license CC0 or CC-BY.
The CSV files were retrieved using
aws s3 --no-sign-request --region eu-central-1 cp s3://inaturalist-open-data/photos.csv.gz photos.csv.gz
aws s3 --no-sign-request --region eu-central-1 cp s3://inaturalist-open-data/taxa.csv.gz taxa.csv.gz
aws s3 --no-sign-request --region eu-central-1 cp s3://inaturalist-open-data/observations.csv.gz observations.csv.gz
then this dataset… See the full description on the dataset page: https://huggingface.co/datasets/philipp-zettl/inaturalist-s3-massive.inaturalist-enriched
Enriched iNaturalist dataset from 2026-03-27.
This dataset is based on philipp-zettl/inaturalist-s3-massive.
The data was enriched using the ./enrich.py script inside the repository.
It contains the following features
photo_id: The original ID of the photo inside the inaturalist dataset
observation_uuid: The observation's UUID
image: The actual image content
taxon_id: The ID of the taxonomy
species_name: The name of the species inside the image
taxonomic_rank: The type of taxonomic rank… See the full description on the dataset page: https://huggingface.co/datasets/philipp-zettl/inaturalist-enriched.wds_inaturalistiNat-2021-valinaturalist
Dataset Description
The iNaturalist dataset is a large-scale species classification dataset for fine-grained recognition. This split is derived from the OpenOOD benchmark OOD evaluation splits.
Homepage: https://github.com/visipedia/inat_comp
OpenOOD Benchmark: https://github.com/Jingkang50/OpenOOD/
Citation
@inproceedings{vanhorn2018inaturalist,
title={The iNaturalist species classification and detection dataset},
author={Van Horn, Grant and others}… See the full description on the dataset page: https://huggingface.co/datasets/torch-uncertainty/inaturalist.inat_soundsinat2021-train-mini-testiNatinat_2021inat_soundsiNaturalist-2017inat_butterfliesThis dataset contains images from iNaturalist of butterflies (superfamily Papilionoidea) with at least one fave. Check the descriptions - some images have a licence like CC-BY-NC and can't be used for commercial purposes.
The list of observations was exported from iNaturalist after a query similar to https://www.inaturalist.org/observations?place_id=any&popular&taxon_id=47224
The images were downloaded with img2dataset and uploaded to the huggingface hub by @johnowhitaker using this colab… See the full description on the dataset page: https://huggingface.co/datasets/huggan/inat_butterflies.findflower-inat21-targeted-datasetinaturalist-bbsinat-species-explorer-dataautotrain-data-inat2018
AutoTrain Dataset for project: inat2018
Dataset Description
This dataset has been automatically processed by AutoTrain for project inat2018.
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": "<748x800 RGB PIL image>",
"target": 2
},
{
"image": "<800x600 RGB PIL image>",
"target": 0
}]
Dataset Fields
The… See the full description on the dataset page: https://huggingface.co/datasets/rdmpage/autotrain-data-inat2018.iNat21_filtered
iNat21 manually filtered masks
This repository contains the original iNat21 mask proposals, the manual review decisions, and the filtered mask parquet produced from those decisions.
The masks were reviewed with the ConCor Wildlife Verification Interface, a CPU-only browser interface for stepping through images and mask proposals, accepting or deleting each mask, saving review progress to JSON, and exporting a filtered parquet.
Files
File
Description
Rows /… See the full description on the dataset page: https://huggingface.co/datasets/suryadv/iNat21_filtered.inaturalistinaturalist_1kinat_sounds