JoffreyMa/autotrain-data-histopathological_image_classification

---
task_categories:
- image-classification

---
# AutoTrain Dataset for project: histopathological_image_classification

## Dataset Description

This dataset has been automatically processed by AutoTrain for project histopathological_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": "<700x460 RGB PIL image>",
"target": 6
},
{
"image": "<700x460 RGB PIL image>",
"target": 2
}
]
```

### Dataset Fields

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

```json
{
"image": "Image(decode=True, id=None)",
"target": "ClassLabel(names=['1', '2', '3', '4', '5', '6', '7', '8'], 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 | 333 |
| valid | 89 |

原始信息汇总

数据集概述

数据集描述

本数据集是为项目“histopathological_image_classification”自动处理的数据集。

语言

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": "<700x460 RGB PIL image>", "target": 6 }, { "image": "<700x460 RGB PIL image>", "target": 2 } ]

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=[1, 2, 3, 4, 5, 6, 7, 8], 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
训练集	333
验证集	89