Datasets:
metadata
task_categories:
- image-classification
AutoTrain Dataset for project: pr_final_covid-19
Dataset Description
This dataset has been automatically processed by AutoTrain for project pr_final_covid-19.
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": "<299x299 L PIL image>",
"target": 0
},
{
"image": "<299x299 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=['Covid', 'Covid_test', 'Lung_Opacity', 'Lung_Opacity_test', 'Normal', 'Normal_test'], 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 | 399 |
valid | 99 |