Zenodo
Jain, Aditya;
Cunha, Fagner;
Bunsen, Michael James;
Cañas, Juan Sebastián;
Pasi, Léonard;
Pinoy, Nathan;
Helsing, Flemming;
Russo, JoAnne;
Botham, Marc;
Sabourin, Michael;
Frechette, Jonathan;
Anctil, Alexandre;
Lopez, Yacksecari;
Navarro, Eduardo;
Pimentel, Filonila Perez;
Zamora, Ana Cecilia;
Silva, José Alejandro Ramirez;
Gagnon, Jonathan;
August, Tom;
Bjerge, Kim;
Segura, Alba Gomez;
Bélisle, Marc;
Basset, Yves;
McFarland, Kent P.;
Roy, David;
Høye, Toke Thomas;
Larrivée, Maxim;
Rolnick, David
—
2024-06-26
The dataset created as part of the work "Insect Identification in the Wild: The AMI Dataset". The arXiv version is available here.
The AMI (Automated Monitoring of Insects) dataset, consists of two parts: 1) AMI-GBIF, a dataset of ∼2.5M human-captured insect images curated from citizen science platforms and museum collections, 2) AMI-Traps, an expert-annotated dataset of 2,893 insect camera trap images (representing 52,948 labeled insects) collected from a global network of automated camera traps, designed to test in-the-wild performance.
https://opensource.org/licenses/MIT