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。