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Implementation of state-of-the-art Deep Learning architectures for Computer Vision (DTU Course 02516). Focus: CNNs and advanced data augmentation strategies.

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Introduction to Deep Learning in Computer Vision

This repository contains the code for all the projects done as part of the course 02516 Introduction to Deep Learning in Computer Vision at DTU

Project 1: Image classification of hot dogs 🌭

Project 2: Image segmentation of retinal images and skin lesions 👁️

Project 3: Object detection of potholes in roads 🛣️

Authors:

  • Jone Steinhoff
  • Lukas Rasocha
  • Mads Prip
  • Petr B. Nylander

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Implementation of state-of-the-art Deep Learning architectures for Computer Vision (DTU Course 02516). Focus: CNNs and advanced data augmentation strategies.

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  • Jupyter Notebook 96.7%
  • Python 2.9%
  • Shell 0.4%