shawt100/autotrain-data-shawt
收藏资源简介：
--- 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 |
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 |
