xuming/autotrain-data-jump_up_down
收藏Hugging Face2023-09-28 更新2024-03-04 收录
下载链接：
https://hf-mirror.com/datasets/xuming/autotrain-data-jump_up_down
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资源简介：
---
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 |
提供机构：
xuming
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 |
