Generates keys using an internal Physical Unclonable Function (PUF). These keys are never exposed directly to external software buses.
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The primary goal of the MIDV dataset is to train models to accurately locate a document within a photo or video frame, even when skewed, obscured, or taken in low-quality lighting. A verified system excels at segmenting the document from the background, which is the first step in effective ID verification. 2. Robustness to Real-World Conditions