metadata

license: apache-2.0
task_categories:
  - image-to-text
language:
  - en
tags:
  - image
  - pdf
  - document
  - receipt
size_categories:
  - n<1K

Openpdf-Blank-v2.0

Openpdf-Blank-v2.0 is a small dataset containing blank or near-blank PDF image samples. This dataset is primarily designed to help train and evaluate document processing models, especially in tasks like:

Identifying and filtering blank or noise-filled documents.
Preprocessing stages for OCR pipelines.
Receipt/document classification tasks.

Dataset Structure

Modality: Image
Languages: English (if applicable)
Size: Less than 1,000 samples
License: Apache-2.0

Usage

from datasets import load_dataset

dataset = load_dataset("prithivMLmods/Openpdf-Blank-v2.0")

Intended Use

The dataset is ideal for training or benchmarking models that need to recognize and filter out blank pages in document images, such as in:

Invoice preprocessing pipelines
Bulk document OCR systems
Smart scanning tools