OpenDoc-Null-6K: Over 6,900 Scanned Document Images for OCR

Over 6,900 images curated for image-to-text recognition tasks, particularly for scanned documents and OCR. The dataset, created by prithivMLmods, is structured in an ImageFolder format and was last updated on September 9, 2025. It is intended for training models on document parsing, PDF image understanding, and layout or text extraction.

Use Cases

• Train image-to-text models based on the described collection of scanned document images.
• Improve optical character recognition (OCR) accuracy based on the structured imagefolder dataset.
• Develop models for document layout analysis based on the dataset's focus on PDF image understanding.
• Benchmark document parsing algorithms based on the over 6,900 images provided.

Strengths

• Contains over 6,900 images, providing a substantial volume for model training.
• Explicitly curated for specific tasks like OCR and document parsing, indicating focused utility.
• Structured in an ImageFolder format, which is a common and convenient format for many computer vision frameworks.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

huggingface

Collection Method

Curated by prithivMLmods; specific gathering method is unknown.

Time Range

null

Freshness

Last updated 2025-09-09 07:19:49; freshness should be verified.

Geography

null