Datasets:
File size: 1,171 Bytes
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dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Bacterial_Leaf_Blight
'1': Brown_Spot
'2': Healthy_Rice_Leaf
'3': Leaf_Blast
'4': Leaf_Scald
'5': Sheath_Blight
splits:
- name: train
num_bytes: 1160091824
num_examples: 3829
download_size: 1067599051
dataset_size: 1160091824
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- image-classification
size_categories:
- 1K<n<10K
---
# Rice Leaf Disease Classification
A dataset for image classification of Rice Leaf Disease Classification. The dataset contains 3,829 images across 6 classes: Bacterial_Leaf_Blight, Brown_Spot, Healthy_Rice_Leaf, Leaf_Blast, Leaf_Scald, Sheath_Blight.
Images per class:
- Bacterial_Leaf_Blight: 636
- Brown_Spot: 646
- Healthy_Rice_Leaf: 653
- Leaf_Blast: 634
- Leaf_Scald: 628
- Sheath_Blight: 632
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
## Citation
https://www.kaggle.com/datasets/anshulm257/rice-disease-dataset/data |