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This course provides a comprehensive introduction to Computer Vision, covering fundamental image processing techniques, deep learning architectures for image classification and detection tasks. Students will gain hands-on experience through practical labs and explore state-of-the-art AI models used in modern vision tasks.

  • In collaboration with: Giuseppe Manco, Franco Sergio Pisani & Paolo Zicari (CNR-ICAR)
  • Prerequisites: Python, Deep Learning Frameworks, Mathematics, Linear Algebra, Machine Learning, Neural Networks & Deep Learning, Data Visualization & Visual Analytics.
  • Estimated time: ≈ 10h