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The Wild Bee Dataset was created by Berlin University of Applied Sciences and contains approximately 30 000 images of wild bees sourced from the iNaturalist database. It is primarily intended to support insect monitoring and species classification research. The dataset covers 25 common German wild bee species; four visually similar species were merged into a single class. During creation, the dataset underwent rigorous labeling, including segmentation masks for body parts. The goal is to assist biologists in annotating rare species using deep‑learning techniques, thereby improving understanding and protection of biodiversity.
