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The dataset could not be loaded because the splits use different data file formats, which is not supported. Read more about the splits configuration. Click for more details.
Couldn't infer the same data file format for all splits. Got {NamedSplit('train'): ('json', {}), NamedSplit('validation'): ('imagefolder', {})}
Error code: FileFormatMismatchBetweenSplitsError
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AutoTrain Dataset for project: coffee-beans
Dataset Description
This dataset has been automatically processed by AutoTrain for project coffee-beans.
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": "<224x224 RGB PIL image>",
"feat_width": 224,
"feat_height": 224,
"target": 1,
"feat_xmin": 22,
"feat_ymin": 61,
"feat_xmax": 140,
"feat_ymax": 160
},
{
"image": "<224x224 RGB PIL image>",
"feat_width": 224,
"feat_height": 224,
"target": 1,
"feat_xmin": 34,
"feat_ymin": 13,
"feat_xmax": 205,
"feat_ymax": 164
}
]
Dataset Fields
The dataset has the following fields (also called "features"):
{
"image": "Image(decode=True, id=None)",
"feat_width": "Value(dtype='int64', id=None)",
"feat_height": "Value(dtype='int64', id=None)",
"target": "ClassLabel(names=['defect', 'good'], id=None)",
"feat_xmin": "Value(dtype='int64', id=None)",
"feat_ymin": "Value(dtype='int64', id=None)",
"feat_xmax": "Value(dtype='int64', id=None)",
"feat_ymax": "Value(dtype='int64', 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 | 3348 |
| valid | 1237 |
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