Insect Identification in the Wild: The AMI Dataset

[frasanz]

Entomology · 14.4 GB · License: MIT

~2.5 million insect images from citizen science platforms (AMI-GBIF) and 2,893 annotated images from global automated camera traps (AMI-Traps) for automated insect monitoring.

🔗 Dataset page · Zenodo record

Challenge

Automated insect monitoring depends on how balanced the training data is. Which taxa are over- or under-represented in the AMI annotations, and where were the images collected?

• Where to start: Work from the annotation/metadata files inside the archive (read them from within the ZIP — don't extract everything). Count records per taxon and per location.
• What to share: A ranked bar chart of taxa coverage and a comment on the sampling gaps you find.

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