---
dataset_info:
- config_name: augmented
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': apoderus_javanicus
          '1': aulacaspis_tubercularis
          '2': ceroplastes_rubens
          '3': cisaberoptus_kenyae
          '4': dappula_tertia
          '5': dialeuropora_decempuncta
          '6': erosomyia_sp
          '7': icerya_seychellarum
          '8': ischnaspis_longirostris
          '9': mictis_longicornis
          '10': neomelicharia_sparsa
          '11': normal
          '12': orthaga_euadrusalis
          '13': procontarinia_matteiana
          '14': procontarinia_rubus
          '15': valanga_nigricornis
  - name: split
    dtype: string
  splits:
  - name: train
    num_bytes: 5629739071
    num_examples: 46700
  download_size: 5631467819
  dataset_size: 5629739071
- config_name: raw
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': apoderus_javanicus
          '1': aulacaspis_tubercularis
          '2': ceroplastes_rubens
          '3': cisaberoptus_kenyae
          '4': dappula_tertia
          '5': dialeuropora_decempuncta
          '6': erosomyia_sp
          '7': icerya_seychellarum
          '8': ischnaspis_longirostris
          '9': mictis_longicornis
          '10': neomelicharia_sparsa
          '11': normal
          '12': orthaga_euadrusalis
          '13': procontarinia_matteiana
          '14': procontarinia_rubus
          '15': valanga_nigricornis
  splits:
  - name: train
    num_bytes: 46628526
    num_examples: 510
  download_size: 46643389
  dataset_size: 46628526
configs:
- config_name: augmented
  data_files:
  - split: train
    path: augmented/train-*
- config_name: raw
  data_files:
  - split: train
    path: raw/train-*
  default: true
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- n<1K
---
# Mango Pest Original Classification

This dataset contains real RGB images of mango leaves, capturing various pest infestations and healthy (normal) conditions. The images were collected directly in agricultural field settings from mango farms using standard color imaging equipment.  The dataset contains raw and augmented versions.  
The raw dataset contains 510 images.  
Images per class:
- apoderus_javanicus: 63
- aulacaspis_tubercularis: 13
- ceroplastes_rubens: 11
- cisaberoptus_kenyae: 19
- dappula_tertia: 38
- dialeuropora_decempuncta: 30
- erosomyia_sp: 13
- icerya_seychellarum: 27
- ischnaspis_longirostris: 7
- mictis_longicornis: 86
- neomelicharia_sparsa: 36
- normal: 36
- orthaga_euadrusalis: 22
- procontarinia_matteiana: 27
- procontarinia_rubus: 26
- valanga_nigricornis: 56

The augmented dataset contains 46,700 images.  
Images per class:
- apoderus_javanicus: 5,725
- aulacaspis_tubercularis: 1,205
- ceroplastes_rubens: 1,054
- cisaberoptus_kenyae: 1,807
- dappula_tertia: 3,465
- dialeuropora_decempuncta: 2,712
- erosomyia_sp: 1,205
- icerya_seychellarum: 2,560
- ischnaspis_longirostris: 454
- mictis_longicornis: 7,685
- neomelicharia_sparsa: 3,314
- normal: 3,314
- orthaga_euadrusalis: 2,108
- procontarinia_matteiana: 2,560
- procontarinia_rubus: 2,410
- valanga_nigricornis: 5,122


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

```bibtex
<!-- TODO: add BibTeX citation -->
```

<!-- TODO: add plain text citation -->

The dataset itself can be cited as:

Chandramouli, K. (2020). *Dataset for pest classification in Mango farms from Indonesia* [Dataset]. Mendeley. https://doi.org/10.17632/94JF97JZC8.1


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