Datasetpublic

Solshine/Rice_Diagnosis_Leaf_Images_FromKaggle

AutoTrain Dataset for project: rice_diagnosis Dataset Description This dataset has been automatically processed by AutoTrain for project rice_diagnosis. Originally from Kaggle, this shows rice leaves (leaf) up close pictures labeled with the disease of which they show symptoms. Languages The BCP-47 code for the dataset's language is unk. Dataset Structure Data Instances A sample from this dataset looks as follows: [ {… See the full description on the dataset page: https://huggingface.co/datasets/Solshine/Rice_Diagnosis_Leaf_Images_FromKaggle.

sourceHugging Faceupdated 3y agoView on Hugging Face

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Dataset Card

AutoTrain Dataset for project: rice_diagnosis

Dataset Description

This dataset has been automatically processed by AutoTrain for project rice_diagnosis.

Originally from Kaggle, this shows rice leaves (leaf) up close pictures labeled with the disease of which they show symptoms.

Languages

The BCP-47 code for the dataset's language is unk.

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

json

[
  {
    "image": "<3081x897 RGB PIL image>",
    "target": 0
  },
  {
    "image": "<3081x897 RGB PIL image>",
    "target": 0
  }
]

Dataset Fields

The dataset has the following fields (also called "features"):

json

{
  "image": "Image(decode=True, id=None)",
  "target": "ClassLabel(names=['Bacterial leaf blight', 'Brown spot', 'Leaf smut'], id=None)"
}

Dataset Splits

This dataset is split into a train and validation split. The split sizes are as follow:

Split name	Num samples
train	96
valid	24