Datasets:

Project-AgML
/

BMSB_stinkbug_detection

dataset_info:
  features:
    - name: image
      dtype: image
    - name: mask
      dtype: image
    - name: objects
      struct:
        - name: bbox
          list:
            list: float64
        - name: categories
          list:
            class_label:
              names:
                '0': HH
  splits:
    - name: train
      num_bytes: 129548896
      num_examples: 476
  download_size: 129570262
  dataset_size: 129548896
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: cc-by-sa-4.0
task_categories:
  - object-detection
size_categories:
  - n<1K

Bmsb Stinkbug Detection

This dataset comprises real-world RGB images of Brown Marmorated Stink Bugs (BMSB) captured in field conditions within Italian orchards. Images were collected using a fixed-position OpenMV Cam H7 Plus camera operating at 1600x1200 resolution, providing naturalistic depictions of the pest in agricultural settings for object detection research. The dataset contains 476 images with 3,813 bounding box annotations across 1 category.

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@article{kargar2024detecting,
  title={Detecting Halyomorpha halys using a low-power edge-based monitoring system},
  author={Kargar, Amin and Zorbas, Dimitrios and Tedesco, Salvatore and Gaffney, Michael and O’Flynn, Brendan},
  journal={Computers and Electronics in Agriculture},
  volume={221},
  pages={108935},
  year={2024},
  publisher={Elsevier}
}

Kargar, A., Zorbas, D., Gaffney, M., O'Flynn, B., & Tedesco, S. (2025). Image Dataset of Brown Marmorated Stink Bug (BMSB) or Halyomorpha Halys (HH) [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.16088064

This dataset was reformatted from its original format to match HuggingFace standards.