Computer Vision Frameworks: Features And Future Trends

This article provides an overview of computer vision frameworks, explaining their core tasks (image/video processing, model training, deployment, and system interfacing), key features such as deep learning integrations, pre-trained models, data augmentation, visualization and cross-platform support, classes (traditional vs deep-learning-based frameworks), and anticipated trends like cloud/distributed integration, self-supervised learning, multi-model analysis, and edge/mobile optimization.