Berry picking has long-standing traditions in Finland, yet it is challenging and can potentially be dangerous. The integration of drones equipped with advanced imaging techniques represents a transformative leap forward, optimising harvests and promising sustainable practices. We propose WildBe, the first image dataset of wild berries captured in peatlands and under the canopy of Finnish forests using drones. Unlike previous and related datasets, WildBe includes new varieties of berries, such as bilberries, cloudberries, lingonberries, and crowberries, captured under severe light variations and in cluttered environments. WildBe features 3,516 images, including a total of 18,468 annotated bounding boxes. We carry out a comprehensive analysis of WildBe using six popular object detectors, assessing their effectiveness in berry detection across different forest regions and camera types. WildBe is publicly available on HuggingFace atthis https URL.
View on arXiv@article{riz2025_2405.07550,
title={ Wild Berry image dataset collected in Finnish forests and peatlands using drones },
author={ Luigi Riz and Sergio Povoli and Andrea Caraffa and Davide Boscaini and Mohamed Lamine Mekhalfi and Paul Chippendale and Marjut Turtiainen and Birgitta Partanen and Laura Smith Ballester and Francisco Blanes Noguera and Alessio Franchi and Elisa Castelli and Giacomo Piccinini and Luca Marchesotti and Micael Santos Couceiro and Fabio Poiesi },
journal={arXiv preprint arXiv:2405.07550},
year={ 2025 }
}