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Handling Noisy Data in Face Detection Datasets: Techniques and Tools

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Face Detection Dataset is now a pillar of contemporary computer vision, driving applications in security, biometrics, social media, and beyond. But developing a high-performance face detection model isn't merely a matter of selecting the optimal algorithm — the dataset matters. Perhaps the most significant challenge in face detection is handling noisy data — mislabeled samples, low-qu... https://justpaste.it/eq7si

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