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ffhq-256_training_faces

The dataset contains four features: image, original_index, landmark, and mask. The image feature is stored as an image format, original_index is an integer, landmark is a sequence of integers, and mask is null. The dataset is divided into two parts: base_transforms (69,426 samples) and random_aug_transforms (26,435 samples). Total download size is 8,177,644,392 bytes and total dataset size is 8,315,251,492.07 bytes.

Updated 9/16/2024
huggingface

Description

Dataset Overview

Dataset Information

Features

  • image: Image data, data type is image.
  • original_index: Original index, data type is int64.
  • landmark: Landmark data, data type is a sequence of int64.
  • mask: Mask data, data type is null.

Dataset Splits

  • base_transforms:
    • Number of records: 69,426
    • Size: 6,544,677,946.62 bytes
  • random_aug_transforms:
    • Number of records: 26,435
    • Size: 1,770,573,545.45 bytes

Dataset Size

  • Download size: 8,177,644,392 bytes
  • Total dataset size: 8,315,251,492.07 bytes

Configuration

  • config_name: default
    • data_files:
      • split: base_transforms
        • path: data/base_transforms-*
      • split: random_aug_transforms
        • path: data/random_aug_transforms-*

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Topics

Face Recognition
Computer Vision

Source

Organization: huggingface

Created: 9/16/2024

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