Computer vision problems can be solved using traditional vision algorithms or machine learning (ML) vision models. Traditional vision algorithms are easy to understand and have predictable results, but may struggle to perform complex tasks, while ML vision models provide high accuracy and scalability but require large datasets to be trained on, and might produce unpredictable results. Read more [Bron foto: ICT Group on linkedin.com]
