dharun2049/autotrain-data-skinnnnnnn

--- task_categories: - image-classification --- # AutoTrain Dataset for project: skinnnnnnn ## Dataset Description This dataset has been automatically processed by AutoTrain for project skinnnnnnn. ### 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": "<224x224 RGB PIL image>", "target": 0 }, { "image": "<224x224 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=['benign', 'malignant'], 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 | 397 | | valid | 101 |

原始信息汇总

AutoTrain 数据集描述

数据集描述

该数据集是为项目 skinnnnnnn 自动处理的。

语言

数据集的语言 BCP-47 代码为 unk。

数据集结构

数据实例

数据集的一个样本如下：

json [ { "image": "<224x224 RGB PIL image>", "target": 0 }, { "image": "<224x224 RGB PIL image>", "target": 1 } ]

数据字段

数据集包含以下字段（也称为“特征”）：

json { "image": "Image(decode=True, id=None)", "target": "ClassLabel(names=[benign, malignant], id=None)" }

数据集分割

数据集被分为训练集和验证集，分割大小如下：

分割名称	样本数量
train	397
valid	101