SebasV/autotrain-data-tableros_factibilidad

AutoTrain Dataset for project: tableros_factibilidad

Dataset Description

This dataset has been automatically processed by AutoTrain for project tableros_factibilidad.

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": "<217x409 RGB PIL image>",
    "target": 1
  },
  {
    "image": "<311x574 RGB PIL image>",
    "target": 2
  }
]

Dataset Fields

The dataset has the following fields (also called "features"):

{
  "image": "Image(decode=True, id=None)",
  "target": "ClassLabel(names=['sin adecuaciones', 'tablero', 'tablero 2 medidores', 'tablero varios medidores'], 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	13
valid	5