victor/autotrain-data-image-classification-test-18

--- task_categories: - image-classification --- # AutoTrain Dataset for project: image-classification-test-18 ## Dataset Descritpion This dataset has been automatically processed by AutoTrain for project image-classification-test-18. ### 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": 2 }, { "image": "<224x224 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(num_classes=3, names=['ADONIS', 'AFRICAN GIANT SWALLOWTAIL', 'AMERICAN SNOOT'], 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 | 269 | | valid | 69 |

原始信息汇总

数据集概述

任务类别

• 图像分类

数据集描述

• 该数据集是为项目image-classification-test-18自动处理生成的。

语言信息

• 数据集的语言BCP-47代码为unk。

数据结构

数据实例

• 样本示例：包含图像和目标标签。 json [ { "image": "<224x224 RGB PIL image>", "target": 2 }, { "image": "<224x224 RGB PIL image>", "target": 2 } ]

数据字段

• 数据集包含以下字段： json { "image": "Image(decode=True, id=None)", "target": "ClassLabel(num_classes=3, names=[ADONIS, AFRICAN GIANT SWALLOWTAIL, AMERICAN SNOOT], id=None)" }

数据集分割

• 数据集分为训练集和验证集，分割情况如下：

  分割名称	样本数量
  训练集	269
  验证集	69