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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
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