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Weeds detection application using transfer learning (resnet101) and some tips powered by Fastai library

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Weeds Detection

Weeds detection application using transfer learning (resnet101) and some tips powered by Fastai library.

Citation Note

The deployment was highly inspirated by the works done by:

Pattaniyil, Nidhin and Shaikh, Reshama, Deploying Deep Learning Models On Web And Mobile, 2019

Programming stack for training the model (see requirements.txt):

  • Python: version 3.6
  • PyTorch: version 1.1.0
  • fastai: version 1.1.52

Tools used for deploying the model:

  • Heroku
  • Docker
  • Flask: version 1.0

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Weeds detection application using transfer learning (resnet101) and some tips powered by Fastai library

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