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cnn-regression

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Fish scales constitute a valuable source of information about individual life histories, but correctly extracting this information requires a highly skilled expert. Here, we train a deep convolutional neural network architecture EfficientNet B4 on a set of about 9000 salmon scale images, and show that it attains good performance on predicting a …

  • Updated Oct 4, 2022
  • Python

This project aims to enhance the quality of low-resolution images by mainly focusing on sharpening the edges of colors in the image; making them sharp and distinctly better quality with some improvement in the overall quality of the image. This will be achieved through Deep Learning.

  • Updated Apr 21, 2023
  • Jupyter Notebook

Evaluate the robustness and performance between ML and DL models in predicting the CPC concentration under various image capturing devices, types of input image datasets, and lighting conditions. The findings in our current study can overcome the bottleneck by eliminating the need for laborious manual extraction processes and reducing the time and

  • Updated Oct 10, 2024
  • Python

The findings in the present study will be a breakthrough for the estimation of CPC concentration from S. platensis solely based on the information provided in the image without the need to perform a prior extraction process and identification of CPC concentration using analytical equipment.

  • Updated Sep 25, 2024
  • Python

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