metadata

task_categories:
  - image-classification

AutoTrain Dataset for project: face_de-identification

Dataset Description

This dataset has been automatically processed by AutoTrain for project face_de-identification.

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": "<256x256 RGB PIL image>",
    "target": 2
  },
  {
    "image": "<256x256 RGB PIL image>",
    "target": 6
  }
]

Dataset Fields

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

{
  "image": "Image(decode=True, id=None)",
  "target": "ClassLabel(names=['Abdullah_Gul', 'Alejandro_Toledo', 'Alvaro_Uribe', 'Amelie_Mauresmo', 'Andre_Agassi', 'Angelina_Jolie', 'Ariel_Sharon', 'Arnold_Schwarzenegger', 'Atal_Bihari_Vajpayee'], 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	2212
valid	558