---
dataset_info:
- config_name: default
  features:
  - name: image
    dtype: image
  - name: landmarks
    struct:
    - name: nose
      struct:
      - name: x
        dtype: float32
      - name: y
        dtype: float32
    - name: r_eye
      struct:
      - name: x
        dtype: float32
      - name: y
        dtype: float32
    - name: l_eye
      struct:
      - name: x
        dtype: float32
      - name: y
        dtype: float32
    - name: r_ear
      struct:
      - name: x
        dtype: float32
      - name: y
        dtype: float32
    - name: l_ear
      struct:
      - name: x
        dtype: float32
      - name: y
        dtype: float32
    - name: r_shoulder
      struct:
      - name: x
        dtype: float32
      - name: y
        dtype: float32
    - name: l_shoulder
      struct:
      - name: x
        dtype: float32
      - name: y
        dtype: float32
  - name: bbox
    struct:
    - name: x_min
      dtype: uint16
    - name: y_min
      dtype: uint16
    - name: x_max
      dtype: uint16
    - name: y_max
      dtype: uint16
  - name: metadata
    struct:
    - name: license
      dtype: string
    - name: photo_url
      dtype: string
  splits:
  - name: train
    num_bytes: 24947710877.238
    num_examples: 241982
  - name: validation
    num_bytes: 675281167.698
    num_examples: 6531
  download_size: 25546589444
  dataset_size: 25622992044.935997
- config_name: fdf
  features:
  - name: image
    dtype: image
  - name: landmarks
    struct:
    - name: nose
      struct:
      - name: x
        dtype: float32
      - name: y
        dtype: float32
    - name: r_eye
      struct:
      - name: x
        dtype: float32
      - name: y
        dtype: float32
    - name: l_eye
      struct:
      - name: x
        dtype: float32
      - name: y
        dtype: float32
    - name: r_ear
      struct:
      - name: x
        dtype: float32
      - name: y
        dtype: float32
    - name: l_ear
      struct:
      - name: x
        dtype: float32
      - name: y
        dtype: float32
    - name: r_shoulder
      struct:
      - name: x
        dtype: float32
      - name: y
        dtype: float32
    - name: l_shoulder
      struct:
      - name: x
        dtype: float32
      - name: y
        dtype: float32
  - name: bbox
    struct:
    - name: x_min
      dtype: uint16
    - name: y_min
      dtype: uint16
    - name: x_max
      dtype: uint16
    - name: y_max
      dtype: uint16
  - name: metadata
    struct:
    - name: license
      dtype: string
    - name: photo_url
      dtype: string
  splits:
  - name: train
    num_bytes: 39416677329.737
    num_examples: 1421253
  - name: validation
    num_bytes: 1394389688.0
    num_examples: 50000
  download_size: 40895711741
  dataset_size: 40811067017.737
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
- config_name: fdf
  data_files:
  - split: train
    path: fdf/train-*
  - split: validation
    path: fdf/validation-*
---

# Dataset Card for Dataset Name

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This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).

## Dataset Details

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#### Personal and Sensitive Information

<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->

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### Recommendations

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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [optional]

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**
@InProceedings{10.1007/978-3-030-33720-9_44,
author="Hukkel{\aa}s, H{\aa}kon
and Mester, Rudolf
and Lindseth, Frank",
title="DeepPrivacy: A Generative Adversarial Network for Face Anonymization",
booktitle="Advances in Visual Computing",
year="2019",
publisher="Springer International Publishing",
pages="565--578",
isbn="978-3-030-33720-9"
}
**APA:**

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