Xanadu00/autotrain-data-galaxy_classification
收藏Hugging Face2023-06-26 更新2024-03-04 收录
下载链接：
https://hf-mirror.com/datasets/Xanadu00/autotrain-data-galaxy_classification
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资源简介：
---
task_categories:
- image-classification
---
# AutoTrain Dataset for project: galaxy_classification
## Dataset Description
This dataset has been automatically processed by AutoTrain for project galaxy_classification.
### 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": "<256x256 RGB PIL image>",
"target": 0
},
{
"image": "<256x256 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(names=['Barred Spiral', 'Cigar Round Smooth', 'Distributed', 'Edge-on with Bulge', 'Edge-on without Bulge', 'In-between Round Smooth', 'Merging', 'Round Smooth', 'Unbarred Loss Spiral', 'Unbarred Tight Spiral'], 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 | 14188 |
| valid | 3548 |
提供机构：
Xanadu00
原始信息汇总
AutoTrain 数据集：galaxy_classification
数据集描述
该数据集由 AutoTrain 自动处理，用于项目 galaxy_classification。
语言
数据集的语言 BCP-47 代码为 unk。
数据集结构
数据实例
数据集中的示例如下：
json [ { "image": "<256x256 RGB PIL image>", "target": 0 }, { "image": "<256x256 RGB PIL image>", "target": 0 } ]
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=[Barred Spiral, Cigar Round Smooth, Distributed, Edge-on with Bulge, Edge-on without Bulge, In-between Round Smooth, Merging, Round Smooth, Unbarred Loss Spiral, Unbarred Tight Spiral], 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 | 14188 |
| valid | 3548 |
