BalajiAIdev/autotrain-data-animal-image-classification

---
task_categories:
- image-classification

---
# AutoTrain Dataset for project: animal-image-classification

## Dataset Description

This dataset has been automatically processed by AutoTrain for project animal-image-classification.

### 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": "<366x274 RGB PIL image>",
"target": 0
},
{
"image": "<367x274 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=['Lion', 'Tiger'], 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 | 20 |
| valid | 20 |

原始信息汇总

数据集概述

数据集名称

AutoTrain Dataset for project: animal-image-classification

数据集描述

该数据集是为项目“animal-image-classification”自动处理的数据集。

语言信息

• BCP-47代码: unk

数据集结构

数据实例

样本数据包含以下字段：

• image: 366x274 RGB PIL图像
• target: 类别标签，值为0

数据集字段

• image: 图像字段，类型为Image，支持解码
• target: 类别标签字段，类别包括Lion和Tiger

数据集分割

• 训练集: 20个样本
• 验证集: 20个样本