How Does Image Anonymization Impact Computer Vision Performance? Exploring Traditional vs. Realistic Anonymization Techniques

Image anonymization involves altering visual data to protect individuals’ privacy by obscuring identifiable features. As the digital age advances, there’s an increasing need to safeguard personal data in images. However, when training computer vision models, anonymized data can impact accuracy due to losing vital information. Striking a balance between privacy and model performance remains a […]

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