Crowdsourced Mobile Live Photo Dataset Collection for Multimodal OCR
Pain Points (Public)
Computer vision teams training scene-text and handwriting recognition models frequently lack diverse real-world regional samples, and coordinating decentralized contributors to capture specialized formats like iOS Live Photos results in high rejection rates due to motion blur, missing metadata, and inconsistent environmental lighting.
Suggested Approach (Public)
Establish a structured mobile data acquisition workflow that distributes localized capture tasks to targeted smartphone users, enforcing strict iOS camera presets and automating pre-upload validation of HEIC/MOV metadata, focal sharpness, and text legibility before compensation.
Metrics (Public)
Statistics window：Monthly 2026-09-27 – 2026-10-26
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Competitor evidence PRO
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Public Demand Evidence · 2 task(s)
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