Consolidated Receipt Images for Document Analysis

800 receipt image samples are available for analysis, curated by Voxel51 and last updated in October 2025. The dataset is intended for tasks in document analysis and optical character recognition.

Use Cases

• Train or fine-tune an optical character recognition (OCR) model on receipt images to extract text fields.
• Develop document analysis models for receipt structure parsing using image data.
• Benchmark image-based classification or detection algorithms on a consolidated set of receipt samples.

Strengths

• Contains 800 distinct receipt image samples for model development.
• Curated by Voxel51, a known entity in dataset management and computer vision tools.
• Dataset was updated in October 2025, indicating recent maintenance.

Limitations

• Small sample size of 800 images may limit the training of large, data-hungry models.
• Specific column structure, file formats, and data size are not documented, complicating integration.
• Potential geographic or source bias is unknown as spatial coverage and collection method are unspecified.

Provenance

Source

Voxel51 via Hugging Face Hub.

Collection Method

Consolidated collection method unspecified.

Freshness

Last updated on 2025-10-21.