Datasets:

Project-AgML
/

plant_doc_classification

image imagewidth (px) 115 6k	label class label 28 classes
	21Tomato leaf late blight
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	21Tomato leaf late blight

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Plant Doc Classification

A dataset for disease classification of various plants. The dataset contains 2,569 images across 28 classes:
Images per class:

Apple Scab Leaf: 93
Apple leaf: 91
Apple rust leaf: 88
Bell_pepper leaf: 61
Bell_pepper leaf spot: 71
Blueberry leaf: 114
Cherry leaf: 57
Corn Gray leaf spot: 68
Corn leaf blight: 191
Corn rust leaf: 116
Peach leaf: 111
Potato leaf early blight: 116
Potato leaf late blight: 105
Raspberry leaf: 119
Soyabean leaf: 65
Squash Powdery mildew leaf: 130
Strawberry leaf: 96
Tomato Early blight leaf: 88
Tomato Septoria leaf spot: 150
Tomato leaf: 63
Tomato leaf bacterial spot: 110
Tomato leaf late blight: 111
Tomato leaf mosaic virus: 54
Tomato leaf yellow virus: 75
Tomato mold leaf: 91
Tomato two spotted spider mites leaf: 2
grape leaf: 69
grape leaf black rot: 64

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

Citation

@inproceedings{10.1145/3371158.3371196,
author = {Singh, Davinder and Jain, Naman and Jain, Pranjali and Kayal, Pratik and Kumawat, Sudhakar and Batra, Nipun},
title = {PlantDoc: A Dataset for Visual Plant Disease Detection},
year = {2020},
isbn = {9781450377386},
publisher = {Association for Computing Machinery},
url = {https://doi.org/10.1145/3371158.3371196},
doi = {10.1145/3371158.3371196},
booktitle = {Proceedings of the 7th ACM IKDD CoDS and 25th COMAD},
pages = {249–253},
numpages = {5},
series = {CoDS COMAD 2020}
}

https://github.com/pratikkayal/PlantDoc-Dataset

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