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.
Note: Up to 1000 features for each file are displayed
Citation
APA Citation:
Jain, A., Cunha, F., Bunsen, M. J., Cañas, J. S., Pasi, L., Pinoy, N., Helsing, F., Russo, J. A., Botham, M., Sabourin, M., Frechette, J., Anctil, A., Lopez, Y., Navarro, E., Pimentel, F. P., Zamora, A. C., Silva, J. A. R., Gagnon, J., August, T., … Rolnick, D. (2024). Insect Identification in the Wild: The AMI Dataset [Data set]. Zenodo. https://zenodo.org/doi/10.5281/zenodo.11358688