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AI Data Collection QA Dashboard

A Streamlit dashboard for supervising AI data collection operations. This project tracks collection throughput, clip quality, route coverage, incidents, and operator performance.

Features

  • KPI cards for sessions, clips collected, pass rate, recollection rate, coverage, and incident rate
  • CSV upload support
  • Filtered session review
  • Operator scorecard
  • Route coverage view
  • Scenario and incident summaries
  • Downloadable CSV reports

Small dashboard that tracks: total sessions collected quality pass/fail rate missing clips route coverage incidents by category operator performance trends

Setup

python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
streamlit run app.py

## Dataset path

data/collection_sessions.csv

About

Streamlit dashboard for tracking AI data collection quality, operator performance, route coverage, and incident trends in a self-driving operations workflow.

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