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Annotated image datasets and trained YOLO11s models for detecting insects, specifically bumble bees. The data accompanies a 2026 research paper and includes 66,325 tiled images and 6,611 full-frame images with corresponding annotation files. Michael Getz created this resource to support the development of low-cost, semi-automated camera traps.
Data is provided as a single .zip archive containing models, images, and annotations; users must be prepared to handle YOLO format .txt annotation files.