Real world data collection with annotation

Attention data enthusiasts and professionals! Shaip is excited to announce our search for a comprehensive collection of real-world data with annotations. We aim to build robust models for document processing and automation, and we need your help to create a diverse dataset across various categories. Categories and Annotation Requirements We are specifically interested in the following categories, with a target of 5,000 annotated samples for each category: 1. Invoices 2. Bank statements 3. Receipts 4. Purchase orders 5. Bills 6. Payslips 7. Payment notes 8. Contracts 9. Local tax documents 10. College applications [login to view URL] 12. Mortgage documents 13. Land records Data Quality and Format To ensure the effectiveness of our models, we have the following requirements for the dataset: • The data should consist of real-world examples, reflecting the diversity and complexity of documents encountered in practical scenarios. • Each document should be accompanied by accurate annotations, providing information about the relevant fields, sections, or data points within the document. • We expect the data to be provided in a common format i.e. PDF Contribute to Document Automation By contributing to this data collection initiative, you will play a vital role in advancing document processing and automation technologies. The data you provide will be instrumental in training our models to accurately extract and process information from a wide range of documents, enabling faster and more efficient workflows across industries. Join the Effort If you possess or have access to a substantial collection of annotated data across any of the mentioned categories, or if you have any leads or recommendations, we would love to hear from you. Let's collaborate and drive innovation in document automation together!