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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<!-- Meta tags for social media banners, these should be filled in appropriatly as they are your "business card" -->
<!-- Replace the content tag with appropriate information -->
<meta name="description" content="Project name: Arboretum">
<meta property="og:title" content="SOCIAL MEDIA TITLE TAG"/>
<meta property="og:description" content="SOCIAL MEDIA DESCRIPTION TAG TAG"/>
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<title>Arboretum</title>
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<!-- <section class="hero">
<div class="hero-body">
<div class="container is-max-desktop">
<div class="columns is-centered">
<div class="column has-text-centered">
<h1 class="title is-1 publication-title">Arboretum: A Large Multimodal Dataset for Advancing AI for Biodiversity</h1>
<div class="is-size-5 publication-authors">
<!-- Paper authors -->
<!-- <span class="author-block">
<a href="FIRST AUTHOR PERSONAL LINK" target="_blank">Chih-Hsuan Yang,</a></span>
<span class="author-block">
<a href="SECOND AUTHOR PERSONAL LINK" target="_blank">Benjamin Feuer,</a></span>
<span class="author-block">
<a href="THIRD AUTHOR PERSONAL LINK" target="_blank">Nirmal Baishnab,</a></span>
<span class="author-block">
<a href="SECOND AUTHOR PERSONAL LINK" target="_blank">Kelly O. Marshall,</a></span>
<span class="author-block">
<a href="SECOND AUTHOR PERSONAL LINK" target="_blank">Talukder Zaki Jubery,</a></span>
</div>
<a href="FIRST AUTHOR PERSONAL LINK" target="_blank">Andre Nakkab,</a></span>
<span class="author-block">
<a href="SECOND AUTHOR PERSONAL LINK" target="_blank">Md Zahid Hasan,</a></span>
<span class="author-block">
<a href="THIRD AUTHOR PERSONAL LINK" target="_blank">Shivani Chiranjeevi,</a></span>
<span class="author-block">
<a href="SECOND AUTHOR PERSONAL LINK" target="_blank">Zi K. Deng,</a></span>
<span class="author-block">
<a href="SECOND AUTHOR PERSONAL LINK" target="_blank">Asheesh K Singh,</a></span>
</div>
<a href="FIRST AUTHOR PERSONAL LINK" target="_blank">Arti Singh,</a></span>
<span class="author-block">
<a href="SECOND AUTHOR PERSONAL LINK" target="_blank">Soumik Sarkar,</a></span>
<span class="author-block">
<a href="THIRD AUTHOR PERSONAL LINK" target="_blank">Nirav Merchant,</a></span>
<span class="author-block">
<a href="SECOND AUTHOR PERSONAL LINK" target="_blank">Chinmay Hegde,</a></span>
<span class="author-block">
<a href="SECOND AUTHOR PERSONAL LINK" target="_blank">Baskar Ganapathysubramanian</a></span>
<div class="is-size-5 publication-authors">
<span class="author-block">Institution Name<br>NeurIPS 2024</span>
<span class="eql-cntrb"><small><br><sup>*</sup>Indicates Equal Contribution</small></span>
</div>
<div class="column has-text-centered">
<div class="publication-links">
<!-- Arxiv PDF link -->
<!-- <span class="link-block">
<a href="https://arxiv.org/pdf/<ARXIV PAPER ID>.pdf" target="_blank"
class="external-link button is-normal is-rounded is-dark">
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</span>
<span>Paper</span>
</a>
</span> -->
<!-- Supplementary PDF link -->
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<a href="static/pdfs/supplementary_material.pdf" target="_blank"
class="external-link button is-normal is-rounded is-dark">
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</span>
<span>Supplementary</span>
</a>
</span> -->
<!-- Github link -->
<!-- <span class="link-block">
<a href="https://github.com/BaskarGroup/Arbor-Clip-data-team.git" target="_blank"
class="external-link button is-normal is-rounded is-dark">
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<span>Code</span>
</a>
</span> -->
<!-- ArXiv abstract Link -->
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<a href="https://arxiv.org/abs/<ARXIV PAPER ID>" target="_blank"
class="external-link button is-normal is-rounded is-dark">
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</span>
<span>arXiv</span>
</a>
</span>
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</div>
</div>
</section> -->
<section class="hero">
<div class="hero-body">
<div class="container is-max-desktop">
<div class="columns is-centered">
<div class="column has-text-centered">
<h1 class="title is-1 publication-title"> Arboretum: A Large Multimodal Dataset Enabling AI for Biodiversity</h1>
<div class="is-size-5 publication-authors">
<!-- Paper authors -->
<span class="author-block">
<a href="https://www.linkedin.com/in/chih-hsuan-yang-isu/" target="_blank">Chih-Hsuan Yang*,</a>
</span>
<span class="author-block">
<a href="https://www.linkedin.com/in/benjaminfeuer/" target="_blank">Benjamin Feuer*,</a>
</span>
<span class="author-block">
<a href="https://www.linkedin.com/in/talukder-zaki-jubery-23322551/" target="_blank">Talukder Zaki Jubery,</a>
</span>
<span class="author-block">
<a href="https://www.arizona.edu/" target="_blank">Zi K. Deng,</a>
</span>
<span class="author-block">
<a href="https://www.linkedin.com/in/andre-nakkab-2bb42b170/" target="_blank">Andre Nakkab,</a>
</span>
<span class="author-block">
<a href="https://www.linkedin.com/in/zahid-isu/" target="_blank">Md Zahid Hasan,</a>
</span>
<span class="author-block">
<a href="https://www.linkedin.com/in/shivani-chiranjeevi/" target="_blank">Shivani Chiranjeevi,</a>
</span>
<span class="author-block">
<a href="https://km3888.github.io/" target="_blank">Kelly O. Marshall,</a>
</span>
<span class="author-block">
<a href="https://www.linkedin.com/in/nirmal-baishnab-446332a6/" target="_blank">Nirmal Baishnab,</a>
</span>
<span class="author-block">
<a href="https://www.agron.iastate.edu/people/singh-asheesh/" target="_blank">Asheesh K Singh,</a>
</span>
<span class="author-block">
<a href="https://www.agron.iastate.edu/people/singh-arti-2/" target="_blank">Arti Singh,</a>
</span>
<span class="author-block">
<a href="https://www.engineering.iastate.edu/people/profile/soumiks/" target="_blank">Soumik Sarkar,</a>
</span>
<span class="author-block">
<a href="https://datascience.arizona.edu/person/nirav-merchant" target="_blank">Nirav Merchant,</a>
</span>
<span class="author-block">
<a href="https://chinmayhegde.github.io/" target="_blank">Chinmay Hegde,</a>
</span>
<span class="author-block">
<a href="https://www.engineering.iastate.edu/people/profile/baskarg/" target="_blank">Baskar Ganapathysubramanian</a>
</span>
</div>
<div class="is-size-5 publication-authors">
<span class="author-block">Iowa State University, New York University, University of Arizona<br><b>Under Review</b>
</span>
<span class="eql-cntrb"><small><br><sup>*</sup>Equal Contribution</small></span>
</div>
<div class="publication-links">
<!-- Arxiv PDF link -->
<span class="link-block">
<a href="https://arxiv.org/pdf/2406.17720" target="_blank" class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fas fa-file-pdf"></i>
</span>
<span>Paper</span>
</a>
</span>
<!-- Supplementary PDF link -->
<!-- <span class="link-block">
<a href="static/pdfs/supplementary_material.pdf" target="_blank" class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fas fa-file-pdf"></i>
</span>
<span>Supplementary</span>
</a>
</span> -->
<!-- Github link -->
<span class="link-block">
<a href="https://github.com/baskargroup/Arboretum" target="_blank" class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fab fa-github"></i>
</span>
<span>GitHub</span>
</a>
</span>
<!-- Hugging Face link -->
<span class="link-block">
<a href="https://huggingface.co/datasets/ChihHsuan-Yang/Arboretum" target="_blank" class="external-link button is-normal is-rounded is-dark">
<span class="icon">
🤗
</span>
<span>HF</span>
</a>
</span>
<!-- ArXiv abstract Link -->
<span class="link-block">
<a href="https://arxiv.org/abs/2406.17720" target="_blank" class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="ai ai-arxiv"></i>
</span>
<span>arXiv</span>
</a>
</span>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- banner image-->
<section class="hero teaser">
<div class="container is-max-desktop">
<div class="hero-body">
<img src="static/images/7_categories.png" alt="ArborCLIP">
<h2 class="subtitle has-text-centered">
<b>The seven taxonomic classes in the Arboretum dataset.</b> Example images of the top 5 most frequent species
in each category, including their counts, common names, and scientific names. For clarity, the word <b>class</b>
used in this context is denoted <b>taxonomic class</b> in the rest of the paper to distinguish it from the other common ML definitions.
</h2>
</div>
</div>
</section>
<!-- End banner image -->
<!-- Paper abstract -->
<section class="section hero is-light">
<div class="container is-max-desktop">
<div class="columns is-centered has-text-centered">
<div class="column is-four-fifths">
<h2 class="title is-3">Abstract</h2>
<div class="content has-text-justified">
<p>
We introduce Arboretum, the largest publicly accessible dataset designed to advance AI for biodiversity applications. This dataset,
curated from the iNaturalist community science platform and vetted by domain experts to ensure accurate data, includes 134.6 million images,
surpassing existing datasets in scale by an order of magnitude. The dataset encompasses image-language paired data for a diverse set of species
from birds (Aves), spiders/ticks/mites (Arachnida), insects (Insecta), plants (Plantae), fungus/mushrooms (Fungi), snails (Mollusca), and snakes/lizards (Reptilia),
making it a valuable resource for multimodal vision-language AI models for biodiversity assessment and agriculture research. Each image is annotated with scientific names,
taxonomic details, and common names, enhancing the robustness of AI model training. We showcase the value of Arboretum by releasing a suite of CLIP models trained using a
subset of 40 million captioned images. We introduce several new benchmarks for rigorous assessment, report accuracy for zero-shot learning, and evaluations across life stages,
rare species, confounding species, and various levels of the taxonomic hierarchy. We anticipate that Arboretum will spur the development of AI models that can enable a
variety of digital tools ranging from pest control strategies, crop monitoring, and worldwide biodiversity assessment and environmental conservation. These advancements are
critical for ensuring food security, preserving ecosystems, and mitigating the impacts of climate change. Arboretum is publicly available, easily accessible, and ready for immediate use.
</p>
</div>
</div>
</div>
</div>
</section>
<!-- End paper abstract -->
<!-- Image carousel -->
<!-- <section class="hero is-small">
<div class="hero-body">
<div class="container">
<div id="results-carousel" class="carousel results-carousel">
<div class="item">
<img src="static/images/carousel1.jpg" alt="MY ALT TEXT"/>
<h2 class="subtitle has-text-centered">
First image description.
</h2>
</div>
<div class="item">
<img src="static/images/carousel2.jpg" alt="MY ALT TEXT"/>
<h2 class="subtitle has-text-centered">
Second image description.
</h2>
</div>
<div class="item">
<img src="static/images/carousel3.jpg" alt="MY ALT TEXT"/>
<h2 class="subtitle has-text-centered">
Third image description.
</h2>
</div>
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<img src="static/images/carousel4.jpg" alt="MY ALT TEXT"/>
<h2 class="subtitle has-text-centered">
Fourth image description.
</h2>
</div>
</div>
</div>
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</section> -->
<!-- End image carousel -->
<!-- data feature -->
<section class="hero is-small">
<div class="hero-body">
<div class="container">
<h2 class="title is-3">Dataset Features</h2>
<div class="columns is-centered has-text-centered">
<div class="column is-four-fifths">
<!-- First Image -->
<div class="publication-image" id="image-container-1">
<img src="static/images/category_distribution.png" alt="Category Distribution" style="cursor: pointer; width: 80%; height: auto;">
</div>
<p class="description">
Distribution of the Arboretum dataset. (a) Size of each taxonomic class in the Arboretum dataset.
(b) Species counts for each taxonomic class. (c) The 40 highest occuring species.
</p>
<!-- Second Image -->
<div class="publication-image" id="image-container-2">
<img src="static/images/treemap_134M_v1.png" alt="Sample Image 2" style="cursor: pointer; width: 80%; height: auto;">
</div>
<p class="description">
Treemap diagram of the Arboretum Dataset, starting from Kingdom. The nested boxes represent phyla,
(taxonomic) classes, orders, and families. Box size represents the relative number of samples.
</p>
<!-- Third Image -->
<div class="publication-image" id="image-container-3">
<img src="static/images/comparison.png" alt="Sample Image 3" style="cursor: pointer; width: 80%; height: auto;">
</div>
<p class="description">
Comparison of Arboretum Dataset with existing biodiversity datasets.
</p>
</div>
</div>
</div>
</div>
</section>
<!-- dataprep -->
<section class="hero is-small" style="margin-bottom: 1rem;">
<div class="hero-body" style="padding-bottom: 1rem;">
<div class="container">
<h2 class="title is-3">Data Preparation</h2>
<div class="content">
<p>
Our <a href="https://github.com/baskargroup/Arboretum/blob/main/Arbor-preprocess/README_arbor_process.md" target="_blank" class="underline-link">Github</a> includes the pipeline and <a href="https://pypi.org/project/arbor-process/" target="_blank" class="underline-link">arbor-process</a> package installation instructions for the data preparation.
The metadata can be downloaded from <a href="https://huggingface.co/datasets/ChihHsuan-Yang/Arboretum" target="_blank" class="underline-link">HF</a>. This procedure will generate machine learning-ready image-text pairs from the downloaded metadata in four steps:
</p>
</div>
<div class="image-container" style="text-align: center;">
<img src="static/images/dataprep.png" alt="datprep" style="width: 80%; height: auto;">
</div>
</div>
</div>
</section>
<style>
.underline-link {
text-decoration: underline;
}
</style>
<!-- end of dataprep -->
<!-- Main Datasets Section -->
<section class="hero is-medium" style="margin-bottom: 1rem;">
<div class="hero-body" style="padding-bottom: 1rem;">
<div class="container">
<h1 class="title is-3">Dataset Benchmarks</h1>
<div class="content">
<p>
<b>ARBORETUM</b> consists of several benchmark datasets - <b>ARBORETUM-40M</b> and <b>New Benchmarks</b>.
</p>
</div>
</div>
</div>
</section>
<!-- Arboretum40M Subsection -->
<section class="hero is-small" style="margin-bottom: 1rem;">
<div class="hero-body" style="padding-bottom: 1rem;">
<div class="container">
<h2 class="title is-4">ARBORETUM-40M</h3>
<div class="content">
<p>
<b>ARBORETUM-40M</b> is a subset comprising approximately 40M samples and 33K species from the seven <b>ARBORETUM</b> categories (iNaturalist prior to January 27, 2024).
It contains 30 to maximum of 50,000 samples per species. We conducted semi-global shuffling and divided the data into mini-batches of approximately 50,000 samples each. From these
mini-batches, 95% were randomly selected for training and validation, while the remaining 5% were reserved for testing.
</p>
</div>
<div class="image-container" style="text-align: center;">
<img src="static/images/arboretum40m.png" alt="lifestages" style="width: 80%; height: auto;">
<p class="caption has-text-centered">
Training data sources used in ARBORETUM-40M and Diversity in Different Taxonomy Levels. We integrate taxonomic labels into the images to train the models.
</p>
</div>
</div>
</div>
</section>
<!-- New Benchmark Subsection -->
<section class="hero is-small" style="margin-bottom: 1rem;">
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<div class="container">
<h2 class="title is-4">New Benchmark</h3>
<div class="content">
<p>
From <b>ARBORETUM</b>, we created three new benchmark datasets for fine-grained image classification. They are- <b>Arboretum-Balanced</b>, <b>Arboretum-Unseen</b> and <b>Arboretum-LifeStages</b>.
</p>
</div>
<div class="image-container" style="text-align: center;">
<img src="static/images/lifestages.png" alt="lifestages" style="width: 80%; height: auto;">
<p class="caption has-text-centered">
(a) Example images from Arboretum-Unseen. (b) ARBORETUM-LIFE-STAGES with 20 class labels: four life stages
(egg, larva, pupa, and adult) for five distinct insect species
</p>
</div>
</div>
</div>
</section>
<!-- ArborCLIP model -->
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<h2 class="title is-3">ARBORCLIP Model</h2>
<!-- Explanation text space -->
<div class="content">
<p>
We use <b>ARBORETUM-40M</b> to train new CLIP-style foundation models (ARBORCLIP), and then evaluate them on zero-shot image classification tasks.
A ViT-B/16 backbone initialized from the OpenAI CLIP weights, a ViT-L/14 from the MetaCLIP and a ViT-B/16 from the BioCLIP checkpoint.
The ArborCLIP model is designed to analyze and categorize various plant species using advanced machine learning techniques.
It leverages a vast dataset and sophisticated algorithms to achieve high accuracy in species recognition.
</p>
</div>
<!-- Static Image with Caption -->
<div class="image-container" style="text-align: center;">
<img src="static/images/arborclip_result.png" alt="ArborCLIP Model" style="width: 80%; height: auto; max-height: 400px;">
<p class="caption has-text-centered"><b>ARBORCLIP</b> performs well on a range of benchmarks. <b>ARBORCLIP-O</b> was pretrained
from an OpenAI model checkpoint, <b>ARBORCLIP-B</b> from the BioCLIP checkpoint, and
<b>ARBORCLIP-M</b> from a MetaCLIP-cc checkpoint. <b>AU</b> stands for Arboretum-Unseen, using Scientific
Names (n-classes=300). <b>AB</b> stands for Arboretum-Balanced, using Scientific Names (n-classes=
2253). <b>BCR</b> stands for the BioCLIP Rare species benchmark (n-classes=400). <b>F</b> stands for
Fungi (n-classes=25). <b>I2</b> stands for Insects2 (n-classes=102). <b>B</b> stands for Birds525 (n-classes=525),
<b>LS</b> for the Life Stages benchmark (n-classes=20), and <b>DW</b> for DeepWeeds (n-classes=9).</p>
</div>
</div>
</div>
</section>
<!-- End model -->
<!--Team -->
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<h2 class="title is-3"><span class="dvima">Team</span></h2>
<div class="columns" style="max-width: 95%; padding-left: 10%;">
<div class="column has-text-centered video-column">
<a href="https://www.linkedin.com/in/chih-hsuan-yang-isu/" target="_blank" style="border-bottom: none;">
<span class="image"><img src="static/images/team/Bella1.png" alt="" style="width: 90%;" /></span>
<span style="font-weight: bold;">Chih-Hsuan Yang</span>
</a>
</div>
<div class="column has-text-centered video-column">
<a href="https://www.linkedin.com/in/benjaminfeuer/" target="_blank" style="border-bottom: none;">
<span class="image"><img src="static/images/team/Ben1.png" alt="" style="width: 90%;" /></span>
<span style="font-weight: bold;">Ben Feuer</span>
</a>
</div>
<div class="column has-text-centered video-column">
<a href="https://www.linkedin.com/in/talukder-zaki-jubery-23322551/" target="_blank" style="border-bottom: none;">
<span class="image"><img src="static/images/team/Zaki1.png" alt="" style="width: 90%;" /></span>
<span style="font-weight: bold;">Zaki Jubery</span>
</a>
</div>
<div class="column has-text-centered video-column">
<a href="https://www.linkedin.com/in/zi-deng-15483a149/" target="_blank" style="border-bottom: none;">
<span class="image"><img src="static/images/team/Zi1.png" alt="" style="width: 90%;" /></span>
<span style="font-weight: bold;">Zi K. Deng</span>
</a>
</div>
<div class="column has-text-centered video-column">
<a href="https://www.linkedin.com/in/andre-nakkab-2bb42b170/" target="_blank" style="border-bottom: none;">
<span class="image"><img src="static/images/team/Andre1.png" alt="" style="width: 92%;" /></span>
<span style="font-weight: bold;">Andre Nakkab</span>
</a>
</div>
</div>
<br />
<div class="columns" style="max-width: 95%; padding-left: 10%;">
<div class="column has-text-centered video-column">
<a href="https://www.linkedin.com/in/zahid-isu/" target="_blank" style="border-bottom: none;">
<span class="image"><img src="static/images/team/Zahid1.png" alt="" style="width: 90%;" /></span>
<span style="font-weight: bold;">Md Zahid Hasan</span>
</a>
</div>
<div class="column has-text-centered video-column">
<a href="https://www.linkedin.com/in/shivani-chiranjeevi/" target="_blank" style="border-bottom: none;">
<span class="image"><img src="static/images/team/Shivani1.png" alt="" style="width: 90%;" /></span>
<span style="font-weight: bold;">Shivani Chiranjeevi</span>
</a>
</div>
<div class="column has-text-centered video-column">
<a href="https://km3888.github.io/" target="_blank" style="border-bottom: none;">
<span class="image"><img src="static/images/team/Kelly1.png" alt="" style="width: 90%;" /></span>
<span style="font-weight: bold;">Kelly Marshall</span>
</a>
</div>
<div class="column has-text-centered video-column">
<a href="https://www.linkedin.com/in/nirmal-baishnab-446332a6/" target="_blank" style="border-bottom: none;">
<span class="image"><img src="static/images/team/Nirmal1.png" alt="" style="width: 90%;" /></span>
<span style="font-weight: bold;">Nirmal Baishnab</span>
</a>
</div>
<div class="column has-text-centered video-column">
<a href="https://www.agron.iastate.edu/people/singh-asheesh/" target="_blank" style="border-bottom: none;">
<span class="image"><img src="static/images/team/Asheesh1.png" alt="" style="width: 90%;" /></span>
<span style="font-weight: bold;">Asheesh K Singh</span>
</a>
</div>
</div>
<br />
<div class="columns" style="max-width: 95%; padding-left: 10%;">
<div class="column has-text-centered video-column">
<a href="https://www.agron.iastate.edu/people/singh-arti-2/" target="_blank" style="border-bottom: none;">
<span class="image"><img src="static/images/team/Arti1.png" alt="" style="width: 92%;" /></span>
<span style="font-weight: bold;">Arti Singh</span>
</a>
</div>
<div class="column has-text-centered video-column">
<a href="https://www.engineering.iastate.edu/people/profile/soumiks/" target="_blank" style="border-bottom: none;">
<span class="image"><img src="static/images/team/Soumik1.png" alt="" style="width: 92%;" /></span>
<span style="font-weight: bold;">Soumik Sarkar</span>
</a>
</div>
<div class="column has-text-centered video-column">
<a href="https://datascience.arizona.edu/person/nirav-merchant" target="_blank" style="border-bottom: none;">
<span class="image"><img src="static/images/team/Nirav1.png" alt="" style="width: 90%;" /></span>
<span style="font-weight: bold;">Nirav Merchant</span>
</a>
</div>
<div class="column has-text-centered video-column">
<a href="https://chinmayhegde.github.io/" target="_blank" style="border-bottom: none;">
<span class="image"><img src="static/images/team/Chinmay1.png" alt="" style="width: 95%;" /></span>
<span style="font-weight: bold;">Chinmay Hegde</span>
</a>
</div>
<div class="column has-text-centered video-column">
<a href="https://www.engineering.iastate.edu/people/profile/baskarg/" target="_blank" style="border-bottom: none;">
<span class="image"><img src="static/images/team/Baskar1.png" alt="" style="width: 88%;" /></span>
<span style="font-weight: bold;">Baskar Ganapathysubramanian</span>
</a>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<!--End Team -->
<!--BibTex citation -->
<section class="section" id="BibTeX">
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<h2 class="title">BibTeX</h2>
<pre><code>
@misc{yang2024arboretumlargemultimodaldataset,
title={Arboretum: A Large Multimodal Dataset Enabling AI for Biodiversity},
author={Chih-Hsuan Yang, Benjamin Feuer, Zaki Jubery, Zi K. Deng, Andre Nakkab, Md Zahid Hasan, Shivani Chiranjeevi, Kelly Marshall, Nirmal Baishnab, Asheesh K Singh, Arti Singh, Soumik Sarkar, Nirav Merchant, Chinmay Hegde, Baskar Ganapathysubramanian},
year={2024},
eprint={2406.17720},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2406.17720},}</code></pre>
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