Midv-203 | ((top))

At the time of its release, it was recognized as the largest publicly available dataset for mobile identity document analysis, featuring 72,409 annotated images. Dataset Overview

It covers various document formats, such as passports and ID cards from multiple countries, including Spain, Finland, Latvia, and Serbia. Multiple Capture Modes: The dataset includes: 1,000 video clips captured via smartphones. 2,000 scanned images obtained using flatbed scanners. 1,000 high-resolution photos . Challenging Conditions for Analysis midv-203

| Question | What to Consider | |----------|-------------------| | | What is “midv‑203”? (e.g., a product model, a research project, a software version, a case study, etc.) | | Report type | Do you need a technical overview , market analysis , project status , risk assessment , executive summary , or something else? | | Length & depth | Rough word count or number of pages (e.g., 2‑page brief, 5‑page deep dive, 15‑page full report)? | | Target audience | Who will read it? (e.g., senior management, engineering team, investors, customers, regulators) | | Key sections | Any specific sections you want included? (e.g., Introduction, Methodology, Findings, Recommendations, Appendices) | | Data & sources | Do you have data, charts, or reference material you want incorporated, or should I rely on publicly‑available information? | | Tone & style | Formal, semi‑formal, conversational, bullet‑point heavy, narrative, etc.? | | Deadline | When do you need the draft completed? | | Formatting preferences | Specific heading style, citation format (APA, MLA, Chicago), or any branding guidelines? | At the time of its release, it was

The dataset was created to address the scarcity of high-quality data in the field of document analysis, where privacy and security requirements often prevent the release of real identity documents. To bypass these ethical and legal hurdles, researchers generated . Key features include: 2,000 scanned images obtained using flatbed scanners