metadata

task_categories:
  - image-classification
  - text-to-image
license: creativeml-openrail-m
language:
  - en
pretty_name: Phototest
size_categories:
  - 1K<n<10K

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:

[
  {
    "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"):

{
  "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