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image-transformations

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Istanbul Traffic Object Detection using YOLOv8 is a real-time deep learning system that detects and classifies key traffic objects—cars, buses, bicycles, motorcycles, and pedestrians—in Istanbul street scenes. Using the lightweight YOLOv8n model, the project automates traffic monitoring, enhances urban mobility analysis.

  • Updated Aug 3, 2025
  • Jupyter Notebook

Successfully established an image classification model using PyTorch to classify the images of several distinct natural sceneries such as mountains, glaciers, forests, seas, streets and buildings with an accuracy of 86%.

  • Updated Dec 24, 2024
  • Jupyter Notebook

This repository contains MATLAB scripts for performing advanced image processing techniques, including gray-level slicing (with and without background) and bit-plane slicing on grayscale images. These transformations help in analyzing image intensity variations and highlighting specific features.

  • Updated Oct 21, 2024
  • MATLAB

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