# AutoTrain Dataset for project: phototest

## Dataset Description

This dataset has been automatically processed by AutoTrain for project phototest.

### 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": "<768x768 RGB PIL image>",
    "target": 0
  },
  {
    "image": "<768x768 RGB PIL image>",
    "target": 3
  }
]
```

### Dataset Fields

The dataset has the following fields (also called "features"):

```json
{
  "image": "Image(decode=True, id=None)",
  "target": "ClassLabel(names=['Row 1', 'Row 2', 'Row 3', 'Row 4', 'Row 5'], 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        | 72 |
| valid        | 19 |
task_categories:image-classification task_categories:text-to-image size_categories:1K<n<10K language:en license:creativeml-openrail-m region:us
{"language": ["en"], "license": "creativeml-openrail-m", "size_categories": ["1K<n<10K"], "task_categories": ["image-classification", "text-to-image"], "pretty_name": "Phototest"}
TAGS
#task_categories-image-classification #task_categories-text-to-image #size_categories-1K<n<10K #language-English #license-creativeml-openrail-m #region-us 

AutoTrain Dataset for project: phototest
========================================


Dataset Description
-------------------


This dataset has been automatically processed by AutoTrain for project phototest.


### Languages


The BCP-47 code for the dataset's language is unk.


Dataset Structure
-----------------


### Data Instances


A sample from this dataset looks as follows:


### Dataset Fields


The dataset has the following fields (also called "features"):


### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow:




### Languages


The BCP-47 code for the dataset's language is unk.


Dataset Structure
----------------- ### Data Instances


A sample from this dataset looks as follows: ### Dataset Fields


The dataset has the following fields (also called "features"): ### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow:
TAGS
#task_categories-image-classification #task_categories-text-to-image #size_categories-1K<n<10K #language-English #license-creativeml-openrail-m #region-us 
 ### Languages


The BCP-47 code for the dataset's language is unk.


Dataset Structure
----------------- ### Data Instances


A sample from this dataset looks as follows: ### Dataset Fields


The dataset has the following fields (also called "features"): ### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow:
passage: TAGS
#task_categories-image-classification #task_categories-text-to-image #size_categories-1K<n<10K #language-English #license-creativeml-openrail-m #region-us 
### Languages


The BCP-47 code for the dataset's language is unk.


Dataset Structure
-----------------### Data Instances


A sample from this dataset looks as follows:### Dataset Fields


The dataset has the following fields (also called "features"):### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow: