Scholarlink

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 18,336 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 ( https://huggingface.co/datasets/FBK-TeV/WildBe ).

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

The image is a white background with small, light blue text in the center that reads "Wild Be." There are no additional visual elements or context provided. rry Image Dataset Collected in Finnish Forests and Peatlands Using Drones

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Luigi Riz,
  • Sergio Povoli,
  • Andrea Caraffa,
  • Davide Boscaini,
  • Mohamed Lamine Mekhalfi,
  • Paul Chippendale,
  • Marjut Turtiainen,
  • Birgitta Partanen,
  • Laura Smith Ballester,
  • Francisco Blanes Noguera,
  • Alessio Franchi,
  • Elisa Castelli,
  • Giacomo Piccinini,
  • Luca Marchesotti,
  • Micael Santos Couceiro,
  • Fabio Poiesi

摘要

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 18,336 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 ( https://huggingface.co/datasets/FBK-TeV/WildBe ).