Project-AgML/plantcity_leaf_disease_classification

Plantcity Leaf Disease Classification

PlantCity is a field leaf disease dataset from Khyber Pakhtunkhwa, Pakistan: 10,667 smartphone images of leaves from twelve crops (apple, apricot, bean, cherry, maize, fig, grape, loquat, pear, tomato, walnut and persimmon) in 52 classes, 41 diseased and 11 healthy. Tomato was photographed in Charsadda between April and June and the other crops in Chitral between June and July, in 2023 and 2024, under expert supervision. The raw config holds the 10,667 original images and the augmented config the authors' 41,606 imgaug-augmented copies (released as the record's test and train folders). The crop is kept as its own column next to the class label. The dataset contains raw and augmented versions.
The raw dataset contains 10,667 images.
Images per class:

• apple_black_spot: 102
• apple_brown_spot: 265
• apple_normal: 206
• apricot_blight_leaf_disease: 90
• apricot_normal: 163
• apricot_shot_hole: 208
• bean_bean_rust_image: 124
• bean_fungal_leaf_disease: 194
• bean_normal_leaf: 223
• bean_shot_hole: 98
• cherry_brown_spot: 242
• cherry_leaf_scorch: 282
• cherry_normal_leaf: 125
• cherry_purple_leaf_spot: 240
• cherry_shot_hole_disease: 110
• corn_fungal_leaf: 83
• corn_gray_leaf_spot: 132
• corn_holcus_leaf_spot: 108
• corn_normal_leaf: 142
• fig_blight_leaf_disease: 191
• fig_brown_spot: 107
• fig_normal_leaf: 150
• fig_rust_leaf: 125
• grape_anthracnose_leaf: 249
• grape_brown_spot_leaf: 160
• grape_downy_mildew_leaf: 155
• grape_mites_leaf_disease: 125
• grape_normal_leaf: 372
• grape_powdery_mildew_leaf: 301
• grape_shot_hole_leaf_disease: 213
• lokat_leaf_spot: 198
• lokat_normal_leaf: 129
• pear_black_spot_leaf_disease: 226
• pear_fire_blight: 95
• pear_normal_leaf: 191
• persimmons_brown_spot: 166
• tomato_bacterial_spot: 400
• tomato_early_blight: 400
• tomato_fusarium_wilt: 89
• tomato_healthy_leaf: 400
• tomato_late_blight: 294
• tomato_leaf_curl: 413
• tomato_leaf_miner: 400
• tomato_leaf_mold: 400
• tomato_septoria_leaf: 341
• tomato_spider_mites: 127
• tomato_verticillium_wilt: 105
• walnut_anthracnose_leaf_disease: 162
• walnut_blotch_leaf_disease: 339
• walnut_leaf_gall_mite: 98
• walnut_normal_leaf: 178
• walnut_shot_hole: 231

The augmented dataset contains 41,606 images.
Images per class:

• apple_black_spot: 469
• apple_brown_spot: 1,060
• apple_normal: 824
• apricot_blight_leaf_disease: 312
• apricot_normal: 652
• apricot_shot_hole: 832
• bean_bean_rust_image: 500
• bean_fungal_leaf_disease: 776
• bean_normal_leaf: 900
• bean_shot_hole: 392
• cherry_brown_spot: 968
• cherry_leaf_scorch: 1,101
• cherry_normal_leaf: 500
• cherry_purple_leaf_spot: 987
• cherry_shot_hole_disease: 440
• corn_fungal_leaf: 332
• corn_gray_leaf_spot: 528
• corn_holcus_leaf_spot: 432
• corn_normal_leaf: 568
• fig_blight_leaf_disease: 763
• fig_brown_spot: 428
• fig_normal_leaf: 600
• fig_rust_leaf: 500
• grape_anthracnose_leaf: 996
• grape_brown_spot_leaf: 640
• grape_downy_mildew_leaf: 624
• grape_mites_leaf_disease: 500
• grape_normal_leaf: 1,485
• grape_powdery_mildew_leaf: 1,208
• grape_shot_hole_leaf_disease: 852
• lokat_leaf_spot: 792
• lokat_normal_leaf: 501
• pear_black_spot_leaf_disease: 904
• pear_fire_blight: 380
• pear_normal_leaf: 764
• persimmons_brown_spot: 663
• tomato_bacterial_spot: 1,305
• tomato_early_blight: 1,525
• tomato_fusarium_wilt: 318
• tomato_healthy_leaf: 1,478
• tomato_late_blight: 1,112
• tomato_leaf_curl: 1,480
• tomato_leaf_miner: 1,497
• tomato_leaf_mold: 1,510
• tomato_septoria_leaf: 1,258
• tomato_spider_mites: 508
• tomato_verticillium_wilt: 420
• walnut_anthracnose_leaf_disease: 648
• walnut_blotch_leaf_disease: 1,354
• walnut_leaf_gall_mite: 392
• walnut_normal_leaf: 712
• walnut_shot_hole: 916

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

Citation

@article{khan2025plantcity,
  title={PlantCity: A comprehensive image based on multi crop leaves in Pakistan},
  author={Khan, Muhammad Sheraz and Nisa, Kainat and Ahmad, Irshad and Zubair, Muhammad and Alshammari, Kaznah},
  journal={Data in Brief},
  volume={63},
  pages={112130},
  year={2025},
  publisher={Elsevier}
}

The dataset itself can be cited as:

khan, M. S., Nisa, K., & ahmad, irshad. (2026). PlantCity: A Comprehensive Image Based on Multi Crop Leaves disease in Pakistan. [Dataset]. Mendeley Data. https://doi.org/10.17632/W8KH2XKSPX.4

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