shawt100/autotrain-data-shawt
收藏Hugging Face2023-04-24 更新2024-03-04 收录
下载链接：
https://hf-mirror.com/datasets/shawt100/autotrain-data-shawt
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资源简介：
---
task_categories:
- image-classification
---
# AutoTrain Dataset for project: shawt
## Dataset Description
This dataset has been automatically processed by AutoTrain for project shawt.
### 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(names=['person_classification', 'shawt'], 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 | 15 |
| valid | 4 |
提供机构：
shawt100
原始信息汇总
数据集概述
数据集描述
该数据集是为项目“shawt”自动处理而生成的，用于图像分类任务。
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": "<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(names=[person_classification, shawt], 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 | 15 |
| 验证集 | 4 |
