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Show HN: OCR Benchmark Focusing on Automation
Automation can be benchmarked using confidence scores, which indicate the model's certainty about its predictions. By setting confidence thresholds, we can measure the proportion of data that a model can accurately handle without human intervention. This approach helps objectively compare the performance of different models in terms of their automation capability.
Interest in the field of OCR document processing has grown significantly with back-to-back releases from new market entrants. Benchmarks provide a structured method to compare and evaluate solutions, helping enterprises filter out unsuitable options, identify tools aligned with their data and operational needs, and streamline validation by reducing the number of products to review. We have collected 1000 images from open-source datasets with common document types like invoices, receipts, passports, and bank statements.
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