metadata
task_categories:
- image-classification
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 |