# nvlabs/ffhq-dataset

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4,099 stars · 604 forks · Python · other

## Links

- GitHub: https://github.com/NVlabs/ffhq-dataset
- awesome-repositories: https://awesome-repositories.com/repository/nvlabs-ffhq-dataset.md

## Description

This project provides a high-resolution face dataset consisting of 70,000 human face images in PNG format. It serves as a curated library of aligned images and facial landmark data designed for generative model training, facial recognition, and image synthesis research.

The dataset includes machine-readable metadata that pairs images with precise facial coordinate points, source URLs, and copyright information. This coordinate data enables the transformation of raw photos into a standardized 1024x1024 pixel resolution through landmark-based alignment and cropping.

The repository includes automation tools for asset retrieval, featuring a downloader that utilizes concurrent network connections and checksum verification to ensure data integrity. It also provides capabilities for image inclusion verification and general facial image preprocessing.

## Tags

### Artificial Intelligence & ML

- [Face Datasets](https://awesome-repositories.com/f/artificial-intelligence-ml/face-datasets.md) — Provides a high-quality collection of 70,000 human face images for training generative models. ([source](https://cdn.jsdelivr.net/gh/nvlabs/ffhq-dataset@master/README.md))
- [Facial Landmark Datasets](https://awesome-repositories.com/f/artificial-intelligence-ml/facial-landmark-analysis/facial-landmark-datasets.md) — Provides precise facial coordinate points mapped to images in machine-readable JSON format.
- [Image-Text Pair Mappings](https://awesome-repositories.com/f/artificial-intelligence-ml/large-scale-model-training/training-datasets/image-text-pair-mappings.md) — Pairs high-resolution images with JSON metadata containing facial coordinates and source information.
- [Training Data Generation](https://awesome-repositories.com/f/artificial-intelligence-ml/training-data-generation.md) — Provides a diverse, large-scale image set curated for deep learning and synthetic image generation.
- [Face Analysis](https://awesome-repositories.com/f/artificial-intelligence-ml/computer-vision-systems/face-analysis.md) — Provides high-quality image sets with coordinates to study human facial characteristics.
- [Generative Model Training Tools](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-model-training-tools.md) — Provides high-resolution face imagery specifically designed for training and evaluating image synthesis models.
- [Image Data Preprocessing](https://awesome-repositories.com/f/artificial-intelligence-ml/image-data-preprocessing.md) — Preprocesses raw photos into standardized formats using facial landmark data.

### Part of an Awesome List

- [Aligned Face Libraries](https://awesome-repositories.com/f/awesome-lists/ai/face-alignment/aligned-face-libraries.md) — Ships a curated library of 1024x1024 cropped images optimized for facial recognition.
- [Computer Vision Datasets](https://awesome-repositories.com/f/awesome-lists/data/computer-vision-datasets.md) — Provides a large-scale labeled image collection for face recognition and synthesis research.
- [Face Datasets](https://awesome-repositories.com/f/awesome-lists/data/face-datasets.md) — Ships a specialized dataset of 70,000 high-resolution human face images in PNG format.
- [Image and Metadata Analysis](https://awesome-repositories.com/f/awesome-lists/security/image-and-metadata-analysis.md) — Provides access to machine-readable JSON metadata including facial landmarks and copyright information. ([source](https://cdn.jsdelivr.net/gh/nvlabs/ffhq-dataset@master/README.md))

### Graphics & Multimedia

- [Feature-Based Image Alignment](https://awesome-repositories.com/f/graphics-multimedia/feature-based-image-alignment.md) — Transforms raw photos into aligned squares using specific facial coordinate data.
- [Pre-Crop Alignment Workflows](https://awesome-repositories.com/f/graphics-multimedia/image-editing-processing/image-editors/image-cropping-tools/pre-crop-alignment-workflows.md) — Includes a utility to rotate and scale raw photos based on facial landmarks before cropping to 1024x1024. ([source](https://cdn.jsdelivr.net/gh/nvlabs/ffhq-dataset@master/README.md))
- [Image Dimension Standardizations](https://awesome-repositories.com/f/graphics-multimedia/output-resolution-configurations/image-dimension-standardizations.md) — Standardizes diverse photography into a uniform 1024x1024 PNG format for neural network training.

### Data & Databases

- [Dataset Downloaders](https://awesome-repositories.com/f/data-databases/dataset-downloaders.md) — Provides a script for efficiently retrieving images, thumbnails, and metadata with checksum support. ([source](https://cdn.jsdelivr.net/gh/nvlabs/ffhq-dataset@master/README.md))