AutoTrain Dataset for project: demo-resnet50-test
Dataset Description
This dataset has been automatically processed by AutoTrain for project demo-resnet50-test.
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": "<600x600 RGB PIL image>",
"target": 0
},
{
"image": "<600x799 RGB PIL image>",
"target": 1
}
]
Dataset Fields
The dataset has the following fields (also called "features"):
{
"image": "Image(decode=True, id=None)",
"target": "ClassLabel(names=['000', '005', '033'], 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 | 288 |
| valid | 75 |
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