Wild Berry Image Dataset Collected in Finnish Forests and Peatlands Using Drones

Abstract

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 at https://huggingface.co/datasets/FBK-TeV/WildBe.

Cite

Text

Riz et al. "Wild Berry Image Dataset Collected in Finnish Forests and Peatlands Using Drones." European Conference on Computer Vision Workshops, 2024. doi:10.1007/978-3-031-91835-3_1

Markdown

[Riz et al. "Wild Berry Image Dataset Collected in Finnish Forests and Peatlands Using Drones." European Conference on Computer Vision Workshops, 2024.](https://mlanthology.org/eccvw/2024/riz2024eccvw-wild/) doi:10.1007/978-3-031-91835-3_1

BibTeX

@inproceedings{riz2024eccvw-wild,
  title     = {{Wild Berry Image Dataset Collected in Finnish Forests and Peatlands Using Drones}},
  author    = {Riz, Luigi and Povoli, Sergio and Caraffa, Andrea and Boscaini, Davide and Mekhalfi, Mohamed Lamine and Chippendale, Paul and Turtiainen, Marjut and Partanen, Birgitta and Ballester, Laura Smith and Noguera, Juan Fco. Blanes and Franchi, Alessio and Castelli, Elisa and Piccinini, Giacomo and Marchesotti, Luca and Couceiro, Micael Santos and Poiesi, Fabio},
  booktitle = {European Conference on Computer Vision Workshops},
  year      = {2024},
  pages     = {1-16},
  doi       = {10.1007/978-3-031-91835-3_1},
  url       = {https://mlanthology.org/eccvw/2024/riz2024eccvw-wild/}
}