# metfaces-dataset **Repository Path**: tfsong2/metfaces-dataset ## Basic Information - **Project Name**: metfaces-dataset - **Description**: MetFaces是一个从艺术作品中提取的人脸图像数据集。 - **Primary Language**: Unknown - **License**: CC0-1.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-08-20 - **Last Updated**: 2024-05-29 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README ## MetFaces Dataset ![Teaser image](./img/metfaces-teaser.png) MetFaces is an image dataset of human faces extracted from works of art, originally created as part of our work on: > **Training Generative Adversarial Networks with Limited Data**
> Tero Karras (NVIDIA), Miika Aittala (NVIDIA), Janne Hellsten (NVIDIA), Samuli Laine (NVIDIA), Jaakko Lehtinen (NVIDIA and Aalto University), Timo Aila (NVIDIA)
> https://arxiv.org/abs/2006.06676 The dataset consists of 1336 high-quality PNG images at 1024×1024 resolution. The images were downloaded via the [Metropolitan Museum of Art Collection API](https://metmuseum.github.io/), and automatically aligned and cropped using [dlib](http://dlib.net/). Various automatic filters were used to prune the set. For business inquiries, please contact [researchinquiries@nvidia.com](mailto:researchinquiries@nvidia.com) For press and other inquiries, please contact Hector Marinez at [hmarinez@nvidia.com](mailto:hmarinez@nvidia.com) ## Licenses The source images are made available under the [Creative Commons Zero (CC0)](https://creativecommons.org/publicdomain/zero/1.0/) license by the [Metropolitan Museum of Art](https://www.metmuseum.org/). Please [read here](https://www.metmuseum.org/about-the-met/policies-and-documents/image-resources) for more information about their Open Access policy. The dataset itself (including JSON metadata, processed images, and documentation) is made available under [Creative Commons BY-NC 2.0](https://creativecommons.org/licenses/by-nc/2.0/) license by NVIDIA Corporation. You can **use, redistribute, and adapt it for non-commercial purposes**, as long as you (a) give appropriate credit by **citing our paper**, and (b) **indicate any changes** that you've made. ## Overview All data is hosted on Google Drive: | Path | Size | Files | Format | Description | :--- | :--: | ----: | :----: | :---------- | [metfaces-dataset](https://drive.google.com/open?id=1w-Os4uERBmXwCm7Oo_kW6X3Sd2YHpJMC) | 14.5 GB | 2621 | | Main folder | ├ [metfaces.json](https://drive.google.com/open?id=1o11-JkkwBbZW61w03O7qGrhkydNALDSH) | 1.8 MB | 1 | JSON | Image metadata including original download URL. | ├ [images](https://drive.google.com/open?id=1iChdwdW7mZFUyivKtDwL8ehCNhYKQz6D) | 1.6 GB | 1336 | PNG | Aligned and cropped images at 1024×1024 | └ [unprocessed](https://drive.google.com/open?id=1lut1g1oASGsipQQB67EFqVhjt4UgC5JW) | 13 GB | 1284 | PNG | Original images ## Reproducing the dataset MetFaces 1024x1024 images can be reproduced with the `metfaces.py` script as follows: 1. Download the contents of the metfaces-dataset Google Drive folder. Retain the original folder structure (e.g., you should have `local/path/metfaces.json`, `local/path/unprocessed`.) 2. Run `metfaces.py --json data/metfaces.json --source-images data --output-dir out` ## Metadata The `metfaces.json` file contains the following information for each image: ``` [ { "obj_id": "11713", # Metmuseum object ID "meta_url": "https://collectionapi.metmuseum.org/public/collection/v1/objects/11713", "source_url": "https://images.metmuseum.org/CRDImages/ad/original/ap26.129.1.jpg", "source_path": "unprocessed/image-11713.png", # Original raw image file under local dataset copy "source_md5": "c1e4c5a42de6a4d6909d3820c16f9eb5", # MD5 checksum of the raw image file "image_path": "images/11713-00.png", # Processed 1024x1024 image "image_md5": "605a90ab744bdbc9737da5620f2777ab", # MD5 checksum of the processed image "title": "Portrait of a Gentleman", # Metmuseum object's title "artist_display_name": "Charles Willson Peale", # Metmuseum object's artist's display name "face_spec": { # Info about the raw image: "rect": [404, 238, 775, 610], # - Axis-aligned rectangle of the face region "landmarks": [...], # - 68 face landmarks reported by dlib "shrink": 2 }, "face_idx": 0 }, ... ] ``` For full Metmuseum metadata, you can access the `meta_url` contents by e.g., `curl https://collectionapi.metmuseum.org/public/collection/v1/objects/11713`.