everycoffee/autotrain-data-coffee-bean-quality

AutoTrain Dataset for project: coffee-bean-quality

Dataset Description

This dataset has been automatically processed by AutoTrain for project coffee-bean-quality.

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": 42,
    "feat_ymin": 84,
    "feat_xmax": 174,
    "feat_ymax": 202
  },
  {
    "image": "<224x224 RGB PIL image>",
    "feat_width": 224,
    "feat_height": 224,
    "target": 0,
    "feat_xmin": 80,
    "feat_ymin": 90,
    "feat_xmax": 186,
    "feat_ymax": 150
  }
]

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	4185
valid	400