---
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:

```json
[
  {
    "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"):

```json
{
  "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 |