victor/autotrain-data-donut-vs-croissant

---
task_categories:
- image-classification

---
# AutoTrain Dataset for project: donut-vs-croissant

## Dataset Descritpion

This dataset has been automatically processed by AutoTrain for project donut-vs-croissant.

### 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": "<512x512 RGB PIL image>",
"target": 0
},
{
"image": "<512x512 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(num_classes=2, names=['croissant', 'donut'], 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 | 133 |
| valid | 362 |

原始信息汇总

数据集概述

数据集描述

该数据集是为“donut-vs-croissant”项目自动处理的，用于图像分类任务。

语言信息

数据集的语言代码为unk。

数据集结构

数据实例

数据集中的样本示例如下：

json [ { "image": "<512x512 RGB PIL image>", "target": 0 }, { "image": "<512x512 RGB PIL image>", "target": 0 } ]

数据集字段

数据集包含以下字段：

json { "image": "Image(decode=True, id=None)", "target": "ClassLabel(num_classes=2, names=[croissant, donut], id=None)" }

数据集分割

数据集被分割为训练集和验证集，分割详情如下：

分割名称	样本数量
训练集	133
验证集	362

以上信息为数据集的详细描述。