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ML Application · Jupyter Notebook

Signal-Detection

A CNN for regression on the different types of Romanian Rail signal models. As a simple CNN doing regression it also employes a simple sliding-window technique for finding the rail signal within the image stream.

What it is

This repository provides an end-to-end face mask detection system using transfer learning with MobileNetV2. It includes data loading, model training, evaluation, and a real-time inference script that integrates OpenCV-based face detection.

Scored from the code at its last scan, 8 Oct 2026. How merit is scored

Where it counts

  • Machine Learning90%
  • Computer Vision70%
  • Data Science40%
  • MLOps10%

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

Around it on the Machine Learning board

Whole board
  1. 36chatbot-pipelineML Application · Python50.2/100ImplementationPop Alexandru
  2. 37socrateLibrary / Framework · Jupyter Notebook49.2/100Implementationvlad andrei
  3. 38Signal-DetectionML Application · Jupyter Notebook47.5/100ImplementationSuceveanu Mircea Dan Sandu
  4. 39advanced-clusteringEducational Implementation · Jupyter Notebook46.5/100ImplementationPop Alexandru
  5. 40, shared rankAI-Driven-Metamaterial-FoundryML Application · Python46.0/100ImplementationLuiz Cesar Spies

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