We are seeking a reliable freelancer or team to assist with an image data collection project for text recognition. The task involves collecting real-world photographs containing visible text from various everyday sources. These images will be used to build a high-quality dataset for a text recognition system. Type of Data: The data required will include real-world photographs with visible text from everyday sources, including but not limited to: - Business Cards - Advertisements - Public Signage - Receipts (e.g., grocery, hotel, food/dining) - Schedules (e.g., bus timetables, store opening hours) - Flyers with business info - Invoices - Multiple business cards or business details Asset Definition: 1 asset = 3 images of the same object from different angles. Delivery Cadence: Assets should be uploaded via Google Form for easy tracking and management. Quality & Compliance Standards: - Only real-world captures will be accepted—no screenshots or web-sourced images. - Ensure text clarity, proper framing, and accurate tagging. - Avoid capturing personal or sensitive information (PII). - Target 95%+ usable rate after review (i.e., at least 95% of the images should meet quality standards after evaluation). Budget: $0.20 per asset (1 asset = 3 images of the same object). Data Categories to Be Collected: Contact Data: - Advertisement - Business card - Flyer with business info - Multiple business cards - Public business details Receipt Data: - Food/dining - Grocery - Hotel - Invoice Schedule Timetable Data: - Bus timetables - Other schedules - Store opening hours Events: - Multi Event Poster - School schedule - Calendar - Other schedule