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README.md
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pretty_name: BIOSCAN-5M
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---
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size_categories:
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pretty_name: BIOSCAN-5M
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---
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# Dataset Card for BIOSCAN-5M
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As part of an ongoing worldwide effort to comprehend and monitor insect biodiversity, We presents the BIOSCAN-5M Insect dataset to the machine learning community. BIOSCAN-5M is a comprehensive dataset containing multi-modal information for over 5 million insect specimens,
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and it significantly expands existing image-based biological datasets by including taxonomic labels, raw nucleotide barcode sequences, assigned barcode index numbers, geographical information, and specimen size.
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## Dataset Details
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### Dataset Description
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Each record of the BIOSCAN-5M dataset contains six primary attributes:
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- RGB image
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- DNA barcode sequence
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- Barcode Index Number (BIN)
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- Biological taxonomic classification
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- Geographical information
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- Specimen size
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The images included in the BIOSCAN-5M dataset available through this repository are subject to copyright
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and licensing restrictions shown in the following:
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- **Copyright Holder:** CBG Photography Group
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- **Copyright Institution:** Centre for Biodiversity Genomics (email:CBGImaging@gmail.com)
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- **Photographer:** CBG Robotic Imager
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- **Copyright License:** Creative Commons Attribution 3.0 Unported ([CC BY 3.0](https://creativecommons.org/licenses/by/3.0/))
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- **Copyright Contact:** collectionsBIO@gmail.com
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- **Copyright Year:** 2021
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### Dataset Sources
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<!-- Provide the basic links for the dataset. -->
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- **Dataset website:** https://biodiversitygenomics.net/5M-insects/
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- **Google Drive:** https://drive.google.com/drive/u/1/folders/1Jc57eKkeiYrnUBc9WlIp-ZS_L1bVlT-0
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- **Code repository:** https://github.com/zahrag/BIOSCAN-5M
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- **Kaggle:** https://www.kaggle.com/datasets/zahragharaee/bioscan-5m/data
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- **Paper:** https://arxiv.org/abs/2406.12723
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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
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## Citation
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**BibTeX:**
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```
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@misc{gharaee2024bioscan5m,
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title={{BIOSCAN-5M}: A Multimodal Dataset for Insect Biodiversity},
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author={Zahra Gharaee and Scott C. Lowe and ZeMing Gong and Pablo Millan Arias
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and Nicholas Pellegrino and Austin T. Wang and Joakim Bruslund Haurum
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and Iuliia Zarubiieva and Lila Kari and Dirk Steinke and Graham W. Taylor
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and Paul Fieguth and Angel X. Chang
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},
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year={2024},
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eprint={2406.12723},
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archivePrefix={arXiv},
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primaryClass={cs.LG},
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doi={10.48550/arxiv.2406.12723},
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}
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```
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