Published May 27, 2024
| Version v1
Dataset
Open
Insect Identification in the Wild: The AMI Dataset
Authors/Creators
-
Jain, Aditya
(Contact person)1
- Cunha, Fagner2
- Bunsen, Michael James1
- Cañas, Juan Sebastián1
- Pasi, Léonard1
- Pinoy, Nathan3
- Helsing, Flemming3
- Russo, JoAnne4
- Botham, Marc5
- Sabourin, Michael6
- Frechette, Jonathan
- Anctil, Alexandre7
- Lopez, Yacksecari8
- Navarro, Eduardo8
- Pimentel, Filonila Perez8
- Zamora, Ana Cecilia8
- Silva, José Alejandro Ramirez8
- Gagnon, Jonathan
- August, Tom5
- Bjerge, Kim3
- Segura, Alba Gomez5
- Bélisle, Marc9
- Basset, Yves8
- McFarland, Kent P.4
- Roy, David5
- Høye, Toke Thomas3
- Larrivée, Maxim10
- Rolnick, David1, 11
-
1.
Mila - Quebec Artificial Intelligence Institute
-
2.
Universidade Federal do Amazonas
-
3.
Aarhus University
- 4. Vermont Center for Ecostudies
-
5.
UK Centre for Ecology & Hydrology
- 6. McGuire Center
- 7. Centre de données sur le patrimoine naturel du Québec
-
8.
Smithsonian Tropical Research Institute
-
9.
Université de Sherbrooke
- 10. Montreal Insectarium
-
11.
McGill University
Description
The dataset created as part of the work "Insect Identification in the Wild: The AMI Dataset".
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.
Files
ami_dataset.zip
Additional details
Software
- Repository URL
- https://github.com/RolnickLab/ami-dataset