realzdlegend/autotrain-data-mnist-analysis
AutoTrain Dataset for project: mnist-analysis Dataset Description This dataset has been automatically processed by AutoTrain for project mnist-analysis. 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": "<28x28 L PIL image>", "target": 1 }, { "image": "<28x28 L PIL image>", "target": 0 } ]… See the full description on the dataset page: https://huggingface.co/datasets/realzdlegend/autotrain-data-mnist-analysis.
AutoTrain Dataset for project: mnist-analysis
Dataset Description
This dataset has been automatically processed by AutoTrain for project mnist-analysis.
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": "<28x28 L PIL image>",
"target": 1
},
{
"image": "<28x28 L PIL image>",
"target": 0
}
]Dataset Fields
The dataset has the following fields (also called "features"):
{
"image": "Image(decode=True, id=None)",
"target": "ClassLabel(names=['0', '1', '2', '3', '4', '5', '6', '7', '8', '9'], id=None)"
}Dataset Splits
This dataset is split into a train and validation split. The split sizes are as follow: