metadata
task_categories:
- image-classification
license: openrail
AutoTrain Dataset for project: doodles-30
Dataset Description
This dataset has been automatically processed by AutoTrain for project doodles-30.
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": "<256x256 RGB PIL image>",
"target": 1
},
{
"image": "<256x256 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=['ant', 'bear', 'bee', 'bird', 'cat', 'dog', 'dolphin', 'elephant', 'giraffe', 'horse', 'lion', 'mosquito', 'tiger', 'whale'], 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 | 336 |
valid | 84 |