Skip to content

Latest commit

 

History

History
34 lines (23 loc) · 833 Bytes

README.md

File metadata and controls

34 lines (23 loc) · 833 Bytes

OCR Benchmark Dashboard

dashboard

This dashboard is used to view the results of the OCR Benchmark.

Getting started

  1. Create a virtual environment

    python3 -m venv venv
    source venv/bin/activate
  2. Install python dependencies

    pip install -r requirements.txt
  3. Run the dashboard:

    streamlit run dashboard/Home.py
  4. The dashboard will open in your browser and show:

    • Model comparison charts for JSON accuracy, and text similarity
    • Cost and latency charts for each model
    • Detailed performance statistics for each model combination
    • Test results table with individual test cases

The dashboard automatically loads results from your results folder and lets you switch between different test runs .