chi0tzp/FALCO

[CVPR 2023, top-10%] Authors official PyTorch implementation of the "Attribute-preserving Face Dataset Anonymization via Latent Code Optimization".

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/ 100
Emerging

This tool helps researchers and data scientists anonymize faces in image datasets while carefully preserving important facial characteristics like age, gender, or expression. You provide a dataset of real faces, and it outputs a new dataset where identities are obscured, but attributes remain intact for tasks like training machine learning models. This is for anyone working with sensitive image data who needs to protect privacy without losing data utility.

No commits in the last 6 months.

Use this if you need to anonymize a face dataset to protect individual privacy, but critically need to retain the utility of facial attributes for downstream analysis or model training.

Not ideal if you need a simple, quick anonymization for individual images without deep control over attribute preservation, or if you are not comfortable with command-line tools and dataset management.

data-privacy face-anonymization machine-learning-datasets computer-vision-research sensitive-data-management
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 6 / 25

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74

Forks

3

Language

Python

License

Apache-2.0

Last pushed

Aug 08, 2024

Commits (30d)

0

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