Datasets:
File size: 1,949 Bytes
e6cd73c 925f141 e6cd73c 925f141 e6cd73c c4e52d7 e6cd73c f42d3cf e6cd73c f42d3cf | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 | ---
dataset_info:
- config_name: augmented
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Anthracnose
'1': Downy_Mildew
'2': Healthy
'3': Mosaic_Virus
splits:
- name: train
num_bytes: 4217352397
num_examples: 5775
download_size: 4426618662
dataset_size: 4217352397
- config_name: raw
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Anthracnose
'1': Downy_Mildew
'2': Healthy
'3': Mosaic_Virus
splits:
- name: train
num_bytes: 2231509933
num_examples: 1155
download_size: 2385746959
dataset_size: 2231509933
configs:
- config_name: augmented
data_files:
- split: train
path: augmented/train-*
- config_name: raw
default: true
data_files:
- split: train
path: raw/train-*
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
---
# Watermelon Disease Classification
A dataset for disease classification of Watermelon. The dataset contains raw and augmented versions.
The raw dataset contains 1,155 images.
Images per class:
- Anthracnose: 155
- Downy_Mildew: 380
- Healthy: 205
- Mosaic_Virus: 415
The augmented dataset contains 5,775 images.
Images per class:
- Anthracnose: 775
- Downy_Mildew: 1,900
- Healthy: 1,025
- Mosaic_Virus: 2,075
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
## Citation
```bibtex
@article{nakib2024comprehensive,
title={Comprehensive watermelon disease recognition dataset},
author={Nakib, Mohammad Imtiaz and Mridha, MF},
journal={Data in Brief},
volume={53},
pages={110182},
year={2024},
publisher={Elsevier}
}
```
Nakib, Mohammad Imtiaz ; Mridha, Firoz (2023), “Watermelon Disease Recognition Dataset”, Mendeley Data, V1, doi: 10.17632/ntzym554jp.1 |