Insect Identification in the Wild: The AMI Dataset
<p>The dataset created as part of the work "<strong>Insect Identification in the Wild: The AMI Dataset</strong>". The arXiv version is available <a href="https://arxiv.org/abs/2406.12452">here</a>.</p> <div> <div> <div> <p>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.</p> </div> </div> </div>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0