BMW-InnovationLab/BMW-Anonymization-API
This repository allows you to anonymize sensitive information in images/videos. The solution is fully compatible with the DL-based training/inference solutions that we already published/will publish for Object Detection and Semantic Segmentation.
This tool helps companies protect personal data and comply with privacy regulations by automatically hiding sensitive information in images and videos. You provide an image or video along with a JSON configuration specifying what to hide (like faces, license plates, or personal belongings) and how to hide it (pixelate, blur, or blacken). The output is a modified image or video where the specified sensitive details are obfuscated. This is for data privacy officers, legal teams, or operations managers who handle visual data that contains personally identifiable information.
190 stars. No commits in the last 6 months.
Use this if you need to automatically redact or anonymize sensitive visual data in images or videos at scale to meet privacy requirements or internal policies.
Not ideal if you need to anonymize non-visual data, require manual, fine-grained control over every anonymization instance, or if your dataset is very small.
Stars
190
Forks
20
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 09, 2024
Commits (30d)
0
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