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custom-model

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An efficient disease detection application with GUI based (tkinter) frontend and a custom CNN model as backend which detects if a cell is parasitized or normal from its image in real time with an accuracy of 95.22%.

  • Updated Jun 3, 2020
  • Jupyter Notebook

Object Detection With PyTorch and Custom the Model By Flask is an end-to-end solution for deploying object detection models using PyTorch, with an easy-to-use Flask web interface for serving predictions. The project leverages the power of the Faster R-CNN model with a ResNet-50-FPN-V2 backbone to accurately detect and localize objects in images.

  • Updated Jul 12, 2025
  • Python

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