AdamOswald1/autotrain-data-let

---
task_categories:
- image-classification

---
# AutoTrain Dataset for project: let

## Dataset Description

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

### 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": "<600x600 RGB PIL image>",
"target": 1
},
{
"image": "<1024x590 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=['Adult Chara', 'Adult Chara and Young Chara', 'Chara', 'Female Kris', 'Kris', 'Kris and Adult Chara', 'Kris and Chara', 'Kris and Female Chara', 'Kris and Male Chara', 'Kris and The Player', 'Kris and a Soul', 'Kris next to the Ghost of Chara', 'Male Kris', 'Male Kris and Female Kris', 'StoryShift Chara', 'StoryShift Chara and Young Chara', 'Teen Chara and Young Chara', 'Teenager Chara and Young Chara', 'Young Chara'], 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 | 242 |
| valid | 242 |

原始信息汇总

AutoTrain Dataset for project: let

数据集描述

该数据集是为项目“let”自动处理的数据集。

语言

数据集的语言BCP-47代码为unk。

数据集结构

数据实例

数据集的样本示例如下：

json [ { "image": "<600x600 RGB PIL image>", "target": 1 }, { "image": "<1024x590 RGB PIL image>", "target": 1 } ]

数据集字段

数据集包含以下字段（特征）：

json { "image": "Image(decode=True, id=None)", "target": "ClassLabel(names=[Adult Chara, Adult Chara and Young Chara, Chara, Female Kris, Kris, Kris and Adult Chara, Kris and Chara, Kris and Female Chara, Kris and Male Chara, Kris and The Player, Kris and a Soul, Kris next to the Ghost of Chara, Male Kris, Male Kris and Female Kris, StoryShift Chara, StoryShift Chara and Young Chara, Teen Chara and Young Chara, Teenager Chara and Young Chara, Young Chara], id=None)" }

数据集分割

数据集被分割为训练集和验证集，分割大小如下：

分割名称	样本数量
训练	242
验证	242