inaturalist
iNaturalist2021
iNaturalist 2021
This dataset is collected from https://github.com/visipedia/inat_comp/tree/master/2021
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.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_inaturalistinaturalist
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.