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ML Application · Python

Pneumonia-Detector

What it is

This repository provides a FastAPI-based inference service for pneumonia detection using chest X-ray images, leveraging a pretrained ResNet18 model exported to ONNX. It includes Dockerization, basic monitoring, and a simple HTML UI, but lacks the model file and tests.

Scored at46557929 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 Vision90%
  • Machine Learning80%
  • MLOps20%

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.

Strengths4

  • Clear separation of concerns in the API code (preprocessing, inference, routing).
  • Dockerization enables consistent deployment across environments.
  • Basic logging and latency monitoring are implemented.
  • README provides a concise project overview.

Limitations

The owner keeps this project's limitations private.

Around it on the Computer Vision board

Whole board
  1. 10the-land-of-wolves-redm-visualsEducational Implementation · Lua37.6/100ExplorationMaster Mind
  2. 11enhanced-negative-promptsDataset / Data Pipeline36.5/100ExplorationMaster Mind
  3. 12Pneumonia-DetectorML Application · Python32.6/100Explorationkamran akmal
  4. 13opencv-intro-freecodecampTutorial / Demo · Jupyter Notebook31.0/100ExplorationPop Alexandru
  5. 14motion-detectorTutorial / Demo · Python30.5/100ExplorationPop Alexandru

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