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app.py
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@@ -92,7 +92,7 @@ with gr.Blocks(title="OCR QA Demo") as demo:
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# π OCR Quality Assessment Demo
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This demo showcases the **OCR Quality Assessment (OCRQA)** of the [Impresso Project](https://impresso-project.ch).
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The pipeline evaluates the quality of text extracted via
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It returns:
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- a **quality score** between **0.0 (poor)** and **1.0 (excellent)**, and
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@@ -131,8 +131,6 @@ with gr.Blocks(title="OCR QA Demo") as demo:
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with gr.Accordion("π About the OCR QA Method", open=False, visible=False) as info_accordion:
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gr.Markdown(
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"""
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### π About the OCR QA Method
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This pipeline estimates OCR quality by analyzing the proportion of **unique words** in a text that match curated wordlists for a given language.
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#### How it works:
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# π OCR Quality Assessment Demo
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This demo showcases the **OCR Quality Assessment (OCRQA)** of the [Impresso Project](https://impresso-project.ch).
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The pipeline evaluates the quality of text extracted via Optical Character Recognition (OCR) by estimating the proportion of (un)known words with respect to a large clean text corpus.
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It returns:
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- a **quality score** between **0.0 (poor)** and **1.0 (excellent)**, and
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with gr.Accordion("π About the OCR QA Method", open=False, visible=False) as info_accordion:
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gr.Markdown(
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"""
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This pipeline estimates OCR quality by analyzing the proportion of **unique words** in a text that match curated wordlists for a given language.
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#### How it works:
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