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ML Application · JavaScript

dashboard-warning-light-detector

Telltale: a two-page web app around a YOLO11s detector for car dashboard warning lights. Metrics page plus a live demo with an interactive overlay.

What it is

This repository provides a local web application for detecting dashboard warning lights in images using a pre-trained YOLO11 model. It includes a metrics page showing model performance, a demo page for interactive image upload and inspection, and tooling for data setup and validation.

Scored ata4856db11 Nov 2026Changes since

Merit describes the code at this commit. Later pushes count once the owner rescans. How merit is scored

Where it counts

  • Computer Vision80%
  • Machine Learning70%
  • MLOps30%
  • Data Science20%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

What the judge found

Read from the project's code at its scored commit.

Strengths3

  • Clear and comprehensive documentation in the README that guides users from installation to usage.
  • Integration of a pre-trained YOLO11 model into a functional web application with both API and user interface.
  • Inclusion of tooling for data setup (copy_samples.py) and validation (parity_check.py) enhances usability and trust.

Limitations

The owner keeps this project's limitations private.

Around it on the Computer Vision board

Whole board
  1. 3, shared rankHRV_appML Application · TypeScript60.5/100AdvancedMohammad Ahmadullah Khan
  2. 05fourcast-livive-netEducational Implementation · JavaScript59.1/100AdvancedJarad Peckenpaugh
  3. 06dashboard-warning-light-detectorML Application · JavaScript55.8/100ImplementationHazem Ilahi
  4. 07opencv-document-scannerOther AI Project · Python54.1/100ImplementationPop Alexandru
  5. 08FootballNetML Application · Jupyter Notebook48.2/100ImplementationSuceveanu Mircea Dan Sandu

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