OttoYu/LeafCondition

---
task_categories:
- image-classification

---
# AutoTrain Dataset for project: leaf

## Dataset Description

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

### 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": "<256x256 RGB PIL image>",
"target": 4
},
{
"image": "<256x256 RGB PIL image>",
"target": 1
}
]
```

### Dataset Fields

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

```json
{
"image": "Image(decode=True, id=None)",
"target": "ClassLabel(names=['Bacteria', 'Fungi', 'Nematodes', 'Normal', 'Virus'], 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 | 191 |
| valid | 48 |

原始信息汇总

数据集概述

数据集描述

• 任务类别：图像分类
• 语言：BCP-47代码为unk

数据集结构

数据实例

• 示例数据包含以下信息：
  • 图像：256x256 RGB PIL图像
  • 目标：分类标签，范围从1到4

数据集字段

• 图像：Image(decode=True, id=None)
• 目标：ClassLabel(names=[Bacteria, Fungi, Nematodes, Normal, Virus], id=None)

数据集分割

• 训练集：191个样本
• 验证集：48个样本