Computer vision is an interdisciplinary field that enables computers to understand and interpret visual data, such as images and videos. It employs advanced algorithms and machine learning techniques to extract meaningful information from visual input. Applications of computer vision range from autonomous vehicles and robotics to healthcare and security systems. Deep learning, particularly Convolutional Neural Networks (CNNs), has significantly advanced the field, allowing machines to learn and recognize patterns in images. As computer vision continues to evolve, it holds great potential to revolutionize industries and enhance human-machine interactions.
Topic / USE CASE SUggestions
- Fence image segmentation using computer vision techniques.
- Unwanted human and object behind fence detection.
- Novel dataset for aircraft damage detection development and existing models performance evaluation.
Contact: Stanislaw Straburzynski (in English)