Historically, the greatest hurdle in identity document research was the scarcity of data. Because real identification documents contain sensitive personal information, they cannot be easily shared for research purposes. This created a "data desert" that hampered the development of robust AI. MIDV-2020 solved this by using 1,000 unique mock documents
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