BIOSCAN-5M 是一个全面的多模态昆虫生物多样性数据集，由生物多样性基因组学中心 (Centre for Biodiversity Genomics) 、圭尔夫大学 (University of Guelph) 、滑铁卢大学 (University of Waterloo) 、西蒙弗雷泽大学 (Simon Fraser University) 、 Vector Institute 、阿尔伯塔机器智能研究所 (Amii) 和奥尔堡大学 (Aalborg University and Pioneer Centre for AI) 于 2024 年提出，旨在理解和监测全球昆虫生物多样性。相关论文成果为「BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity」。 该数据集包含了超过 500 万昆虫标本的详细信息，显著扩展了现有的基于图像的生物数据集，不仅包括分类标签、原始核苷酸条形码序列、分配的条形码索引号和地理信息，还涵盖了标本大小等多模态信息。

Citation

@inproceedings{gharaee2024bioscan5m, title={{BIOSCAN-5M}: A Multimodal Dataset for Insect Biodiversity}, booktitle={Advances in Neural Information Processing Systems}, author={Zahra Gharaee and Scott C. Lowe and ZeMing Gong and Pablo Millan Arias and Nicholas Pellegrino and Austin T. Wang and Joakim Bruslund Haurum and Iuliia Zarubiieva and Lila Kari and Dirk Steinke and Graham W. Taylor and Paul Fieguth and Angel X. Chang }, editor={A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang}, pages={36285–36313}, publisher={Curran Associates, Inc.}, year={2024}, volume={37}, url={https://proceedings.neurips.cc/paper\_files/paper/2024/file/3fdbb472813041c9ecef04c20c2b1e5a-Paper-Datasets\_and\_Benchmarks\_Track.pdf}, }