Datasets:

Project-AgML
/

BAU_insectV2_classification

dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': aphids
            '1': armyworm
            '2': beetle
            '3': bollworm
            '4': grasshopper
            '5': mites
            '6': mosquito
            '7': sawfly
            '8': stem_borer
    - name: split
      dtype: string
  splits:
    - name: train
      num_bytes: 66288874
      num_examples: 2616
  download_size: 64688955
  dataset_size: 66288874
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: cc-by-4.0
task_categories:
  - image-classification
size_categories:
  - 1K<n<10K

Bau Insectv2 Classification

This dataset comprises real-world RGB images of insect species captured in agricultural field environments across Bangladesh. Collected using Samsung smartphone and Canon digital cameras during field surveys, it provides diverse visual samples for insect classification tasks in crop monitoring contexts. The dataset contains 2,616 images across 9 classes: aphids, armyworm, beetle, bollworm, grasshopper, mites, mosquito, sawfly, stem_borer.
Images per class:

aphids: 310
armyworm: 266
beetle: 341
bollworm: 281
grasshopper: 323
mites: 296
mosquito: 345
sawfly: 237
stem_borer: 217

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

The original train/test/val split has been preserved in the split column.

Citation

@article{salehin2024bau,
  title={BAU-Insectv2: An agricultural plant insect dataset for deep learning and biomedical image analysis},
  author={Salehin, Imrus and Khan, Mahbubur Rahman and Habiba, Ummya and Badhon, Nazmul Huda and Moon, Nazmun Nessa},
  journal={Data in Brief},
  volume={53},
  pages={110083},
  year={2024},
  publisher={Elsevier}
}

Salehin, Imrus; Angon, Prodipto Bishnu ; Habiba, Ummya (2023), “BAU-Insectv2 Agricultural Plant Insect Dataset ”, Mendeley Data, V2, doi: 10.17632/x2c6c8thdk.2

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