Datasets:
File size: 3,813 Bytes
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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.*
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