Datasets:
File size: 1,222 Bytes
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dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Bacterial_Leaf_Disease
'1': Dried_Leaf
'2': Fungal_Brown_Spot_Disease
'3': Healthy_Leaf
splits:
- name: train
num_bytes: 6476375318
num_examples: 3589
download_size: 6067102967
dataset_size: 6476375318
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
---
# Betel Leaf Disease Classification
A dataset for image classification of Betel Leaf Disease Classification. The dataset contains 3,589 images across 4 classes: Bacterial_Leaf_Disease, Dried_Leaf, Fungal_Brown_Spot_Disease, Healthy_Leaf.
Images per class:
- Bacterial_Leaf_Disease: 906
- Dried_Leaf: 898
- Fungal_Brown_Spot_Disease: 892
- Healthy_Leaf: 893
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
## Citation
Rashid, Mohammad Rifat Ahmmad; Hossain, Md. Miskat ; Biswas, Joy ; Majumder, Hredoy (2024), “Betel Leaf Image Dataset from Bangladesh”, Mendeley Data, V2, doi: 10.17632/g7fpgj57wc.2 |