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Fish fraud detection

Fishazam

A tool that spots fish fraud by combining smartphone photos with spectrometer readings.

Industry
Food safety
Discipline
R&D and grants
Our role
Computer vision and ML
Technology
  • Python
  • PyTorch
  • XGBoost
  • OpenCV
  • ONNX

The challenge

Fish species are easy to swap at the counter and hard to tell apart by eye.

What we did

  • Image analysis and data classification
  • App showing the result with a confidence level and a data visualisation

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