Synthetic Invoice Images with Realistic Degradation Effects

Synthetic Invoice OCR Dataset is a collection of artificially generated invoice images. The dataset includes realistic degradation effects to simulate real-world document scanning conditions. It was sourced from the Kaggle platform, but details on its creator, size, and update history are not provided.

Use Cases

• Train OCR models to read text from invoices based on the described synthetic images.
• Benchmark the robustness of document processing pipelines against the realistic degradation effects mentioned.
• Generate training data for invoice layout analysis and key information extraction.

Strengths

• The description explicitly states the inclusion of realistic degradation effects, which can improve model robustness.
• Synthetic data generation allows for scalable production of labeled training examples without manual annotation.

Limitations

• Row count and total dataset size are unknown, which may limit suitability assessment for large-scale training.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle

Collection Method

Synthetically generated with applied degradation effects.