Dataset Preview
_data_files list | _fingerprint string | _format_columns sequence | _format_kwargs dict | _format_type null | _indexes dict | _output_all_columns bool | _split null |
|---|---|---|---|---|---|---|---|
[
{
"filename": "dataset.arrow"
}
] | b02ad27348fe4438 | [
"image",
"target"
] | {} | null | {} | false | null |
AutoTrain Dataset for project: dog-classifiers
Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project dog-classifiers.
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": "<474x592 RGB PIL image>",
"target": 1
},
{
"image": "<474x296 RGB PIL image>",
"target": 1
}
]
Dataset Fields
The dataset has the following fields (also called "features"):
{
"image": "Image(decode=True, id=None)",
"target": "ClassLabel(num_classes=5, names=['akita inu', 'corgi', 'leonberger', 'samoyed', 'shiba inu'], 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 | 598 |
| valid | 150 |
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