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computervision

Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding of digital images and videos.

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This project explores various deep learning architectures for object recognition. It's structured into three main approaches: Feedforward Neural Networks (ffNN), Convolutional Neural Networks (CNN), and Transfer Learning (tLearning). Each method is designed to evaluate different strategies and improve the accuracy of object recognition.

  • Updated Jun 27, 2024
  • Jupyter Notebook

A project for lung disease detection and analysis using deep learning. It includes lung segmentation, disease classification, and severity localization with Grad-CAM for visual explanations. This repository provides code, datasets, and documentation for replication and further research.

  • Updated Jun 20, 2024
  • Jupyter Notebook

This repository uses OpenCV, Python and NumPy to create a project that focuses on detecting and prioritizing red and blue houses in aerial images, distinguishing between those that are on fire (brown areas) and those that are safe on grass (green areas). Using OpenCV and Python, the program then assigns rescue priority to different locations .

  • Updated Jun 16, 2024
  • Python
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deep-learning gan machine-learning opencv vision