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Datasets:
Project-AgML
/
plant_village_classification

Tasks:
Image Classification
Modalities:
Image
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Size:
10K - 100K
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plant_village_classification
File size: 4,193 Bytes
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---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': Apple___Apple_scab
          '1': Apple___Black_rot
          '2': Apple___Cedar_apple_rust
          '3': Apple___healthy
          '4': Background_without_leaves
          '5': Blueberry___healthy
          '6': Cherry___Powdery_mildew
          '7': Cherry___healthy
          '8': Corn___Cercospora_leaf_spot Gray_leaf_spot
          '9': Corn___Common_rust
          '10': Corn___Northern_Leaf_Blight
          '11': Corn___healthy
          '12': Grape___Black_rot
          '13': Grape___Esca_(Black_Measles)
          '14': Grape___Leaf_blight_(Isariopsis_Leaf_Spot)
          '15': Grape___healthy
          '16': Orange___Haunglongbing_(Citrus_greening)
          '17': Peach___Bacterial_spot
          '18': Peach___healthy
          '19': Pepper,_bell___Bacterial_spot
          '20': Pepper,_bell___healthy
          '21': Potato___Early_blight
          '22': Potato___Late_blight
          '23': Potato___healthy
          '24': Raspberry___healthy
          '25': Soybean___healthy
          '26': Squash___Powdery_mildew
          '27': Strawberry___Leaf_scorch
          '28': Strawberry___healthy
          '29': Tomato___Bacterial_spot
          '30': Tomato___Early_blight
          '31': Tomato___Late_blight
          '32': Tomato___Leaf_Mold
          '33': Tomato___Septoria_leaf_spot
          '34': Tomato___Spider_mites Two-spotted_spider_mite
          '35': Tomato___Target_Spot
          '36': Tomato___Tomato_Yellow_Leaf_Curl_Virus
          '37': Tomato___Tomato_mosaic_virus
          '38': Tomato___healthy
  splits:
  - name: train
    num_bytes: 989194942
    num_examples: 55448
  download_size: 862897887
  dataset_size: 989194942
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
task_categories:
- image-classification
size_categories:
- 10K<n<100K
---
# Plant Village Classification

A dataset for image classification of Plant Village Classification. The dataset contains 55,448 images across 39 classes:  
Images per class:
- Apple___Apple_scab: 630
- Apple___Black_rot: 621
- Apple___Cedar_apple_rust: 275
- Apple___healthy: 1,645
- Background_without_leaves: 1,143
- Blueberry___healthy: 1,502
- Cherry___Powdery_mildew: 1,052
- Cherry___healthy: 854
- Corn___Cercospora_leaf_spot Gray_leaf_spot: 513
- Corn___Common_rust: 1,192
- Corn___Northern_Leaf_Blight: 985
- Corn___healthy: 1,162
- Grape___Black_rot: 1,180
- Grape___Esca_(Black_Measles): 1,383
- Grape___Leaf_blight_(Isariopsis_Leaf_Spot): 1,076
- Grape___healthy: 423
- Orange___Haunglongbing_(Citrus_greening): 5,507
- Peach___Bacterial_spot: 2,297
- Peach___healthy: 360
- Pepper,_bell___Bacterial_spot: 997
- Pepper,_bell___healthy: 1,478
- Potato___Early_blight: 1,000
- Potato___Late_blight: 1,000
- Potato___healthy: 152
- Raspberry___healthy: 371
- Soybean___healthy: 5,090
- Squash___Powdery_mildew: 1,835
- Strawberry___Leaf_scorch: 1,109
- Strawberry___healthy: 456
- Tomato___Bacterial_spot: 2,127
- Tomato___Early_blight: 1,000
- Tomato___Late_blight: 1,909
- Tomato___Leaf_Mold: 952
- Tomato___Septoria_leaf_spot: 1,771
- Tomato___Spider_mites Two-spotted_spider_mite: 1,676
- Tomato___Target_Spot: 1,404
- Tomato___Tomato_Yellow_Leaf_Curl_Virus: 5,357
- Tomato___Tomato_mosaic_virus: 373
- Tomato___healthy: 1,591

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

## Citation

```bibtex
@article{DBLP:journals/corr/HughesS15,
author    = {David P. Hughes and Marcel Salath{'{e} } },
title     = {An open access repository of images on plant health to enable the development of mobile disease diagnostics through machine learning and crowdsourcing},
journal   = {CoRR},
volume    = {abs/1511.08060},
year      = {2015},
url       = {http://arxiv.org/abs/1511.08060},
archivePrefix = {arXiv},
eprint    = {1511.08060},
timestamp = {Mon, 13 Aug 2018 16:48:21 +0200},
biburl    = {https://dblp.org/rec/bib/journals/corr/HughesS15},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
```

https://github.com/spMohanty/PlantVillage-Dataset