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  pretty_name: A Large Multimodal Dataset for Visually Confusing Biodiversity
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  size_categories:
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  - 100M<n<1B
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  pretty_name: A Large Multimodal Dataset for Visually Confusing Biodiversity
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  size_categories:
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  - 100M<n<1B
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+ ---
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+
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+ # CrypticBio: A Large Multimodal Dataset for Visually Confusing Biodiversity
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+
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+ <!-- Banner links -->
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+ <div style="text-align:center;">
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+ <a href="https://georgianagmanolache.github.io/crypticbio/" target="_blank">
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+ <img src="https://img.shields.io/badge/Project%20Page-Visit-blue" alt="Project Page" style="margin-right:10px;">
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+ </a>
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+ <a href="https://github.com/georgianagmanolache/crypticbio" target="_blank">
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+ <img src="https://img.shields.io/badge/GitHub-Visit-lightgrey" alt="GitHub" style="margin-right:10px;">
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+ </a>
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+ </div>
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+
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+ ## Description
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+
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+ **See the [CrypticBio](https://huggingface.co/gmanolache/CrypticBio) dataset card**
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+
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+ [CrypticBio](https://georgianagmanolache.github.io/crypticbio/) comprises metadata including species scientific and multicultural vernacular terminology, image URL, taxonomic hierarchy, spatiotemporal context, and corresponding visually confusing species group.
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+
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+ ## CrypticBio Dataset
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+ `BioTrove` comprises over `161.9M` images across several taxonomic groups- including Reptilia (reptiles), Plantae (plants), Mollusca (mollusks), Mammalia (mammals), Insecta (insects), Fungi (fungi), Aves (birds), Arachnida (arachnids), Animalia (animals), Amphibia (amphibians), and Actinopterygii (ray-finned fish).
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+ These taxonomic groups were chosen to represent the span of species β€” outside of charismatic megafauna. The images in BioTrove span `366.6K`species.
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+ Overall, this dataset nearly matches the state-of-the-art curated dataset (TREEOFLIFE-10M) in terms of species diversity, while comfortably exceeding it in terms of scale by a factor of nearly 16.2 times.
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+
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+ ## New Benchmark Datasets
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+ We created three new benchmark datasets for fine-grained image classification. In addition, we provide a new benchmark dataset for species recognition across various developmental Life-stages.
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+
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+ ### CrypticBio-Commom
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+ We curate a cryptic species subset of a common species from Arachnida, Aves, Insecta, Plantae, Fungi, Mollusca, and Reptilia. We randomly select 100 samples from each species in a cryptic group where there are more than 150 observation per species.
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+
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+ ### CrypticBio-CommonUnseen
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+ To assess zero-shot performance on common species from CrypticBio-Common not encountered during training of state-of-the-art models, we specifically curate a subset spanning data from 01-09-2024 to 01-04-2025. We randomly select 100 samples from each species in a cryptic group where there are more than 150 observation per species.
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+
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+ ### CrypticBio-Endagered
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+ We propose a cryptic species subset of endangered species according to global IUCN Red List. We randomly select 30 samples from Arachnida, Fungi, Insecta, Mollusca, and Reptilia taxa and corresponding cryptic group, filtering out taxa where there are less than 150 observation.
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+
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+ ### CrypticBio-Invasive
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+ We also propose a cryptic species subset of invasive alien species (IAS) according to global the Global Invasive Species Database (GISD). IAS are a significant concern for biodiversity as their records appear to be exponentially rising across the Earth. Thus, identifying invasive species in cryptic groups is essential in biodiversity. We randomly select 100 samples from each invasive species cryptic group, filtering out taxa where there are less than 150 observation.
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+
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+ ## Dataset Information
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+
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+ - **Full Taxa Information**: Detailed metadata, including taxonomic hierarchy and image URLs.
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+ - **Comprehensive Metadata**: Enables filtering, visualization, and effective management of data imbalance.
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+ - **Software Tools**: Collection of tools for easy dataset access, download, and manipulation.
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+ - **Balanced Species Distribution**: Up to 500 species per category with 50 images per species.
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+ - **Unseen Species Benchmark**: Includes species with fewer than 30 instances to evaluate generalization capability.
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+ - **Life Stages Dataset**: Focuses on insects across various developmental stages.
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+
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+ ### Directory
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+ ```plaintext
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+ main/
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+ β”œβ”€β”€ crypticbio.parquet/
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+ β”‚ β”œβ”€β”€ part_0.csv
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+ β”‚ β”œβ”€β”€ part_0.parquet
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+ β”‚ β”œβ”€β”€ part_1.parquet
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+ β”‚ β”œβ”€β”€ .
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+ β”‚ β”œβ”€β”€ .
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+ β”‚ β”œβ”€β”€ .
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+ β”‚ └── part_626.parquet
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+ β”œβ”€β”€ BioTrove-benchmark/
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+ β”‚ β”œβ”€β”€ CrypticBio-Balanced.csv
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+ β”‚ β”œβ”€β”€ CrypticBio-Balanced.parquet
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+ β”‚ β”œβ”€β”€ CrypticBio-Lifestages.csv
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+ β”‚ β”œβ”€β”€ CrypticBio-Lifestages.parquet
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+ β”‚ └──BioTrove-Unseen.parquet
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+ β”œβ”€β”€README.md
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+ └──.gitignore
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+ ```
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+
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+ ### Acknowledgements
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+
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+
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+ The data and the code are publicly available at [georgianagmanolache.github.io/crypticbio](https://georgianagmanolache.github.io/crypticbio/)