xuming/autotrain-data-jump_up_down

--- task_categories: - image-classification --- # AutoTrain Dataset for project: jump_up_down ## Dataset Description This dataset has been automatically processed by AutoTrain for project jump_up_down. ### 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": "<437x960 RGB PIL image>", "target": 0 }, { "image": "<369x800 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=['beijing', 'down', 'up'], 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 | 432 | | valid | 110 |

原始信息汇总

AutoTrain Dataset for project: jump_up_down

数据集描述

该数据集是为项目“jump_up_down”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": "<437x960 RGB PIL image>", "target": 0 }, { "image": "<369x800 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=[beijing, down, up], id=None)" }

数据集分割

数据集被分割为训练集和验证集，分割大小如下：

分割名称	样本数量
train	432
valid	110