activity
20232026
most citedA Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset

9 citations · 20 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

A continental-scale dataset of ground beetles with high-resolution images and validated morphological trait measurements

S M Rayeed, Mridul Khurana, Alyson East +18

Despite the ecological significance of invertebrates, global trait databases remain heavily biased toward vertebrates and plants, limiting comprehensive ecological analyses of high…

cs.CV2025

A multi-modal dataset for insect biodiversity with imagery and DNA at the trap and individual level

Johanna Orsholm, John Quinto, Hannu Autto +26

Insects comprise millions of species, many experiencing severe population declines under environmental and habitat changes. High-throughput approaches are crucial for accelerating…

cs.CV2025★ 7 cited

Optimizing Image Capture for Computer Vision-Powered Taxonomic Identification and Trait Recognition of Biodiversity Specimens

Alyson East, Elizabeth G. Campolongo, Luke Meyers +25

1) Biological collections house millions of specimens with digital images increasingly available through open-access platforms. However, most imaging protocols were developed for h…

cs.LG2023★ 4 cited

BarcodeBERT: Transformers for Biodiversity Analysis

Pablo Millan Arias, Niousha Sadjadi, Monireh Safari +9

In the global challenge of understanding and characterizing biodiversity, short species-specific genomic sequences known as DNA barcodes play a critical role, enabling fine-grained…

cs.CV2023★ 9 cited

A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset

Zahra Gharaee, ZeMing Gong, Nicholas Pellegrino +13

In an effort to catalog insect biodiversity, we propose a new large dataset of hand-labelled insect images, the BIOSCAN-Insect Dataset. Each record is taxonomically classified by a…