At the Center for AI in Computer Vision, we are committed to narrowing the gap between theoretical research in machine learning and its practical applications in real-world scenarios. Our focus is on leveraging cutting-edge AI technologies to tackle complex problems across various domains. Our research and development efforts aim to create intelligent systems that not only advance the field but also make a meaningful impact on society.
Our multidisciplinary research spans several key areas:
Computer Vision: Advancing techniques in visual recognition and scene understanding to enable machines to interpret and interact with the visual world.
Machine Learning & Deep Learning: Designing and training intelligent systems that learn from data to perform tasks with accuracy, efficiency, and adaptability.
Responsible & Explainable AI: Ensuring our technologies are transparent, fair, and accountable. We develop AI systems that stakeholders can understand, trust, and govern.
| Dataset | Content | Access |
|---|---|---|
| S3Simulator Synthetic Sonar Dataset | Ship and plane, 7,721 images | Request access |
| S3Simulator+ Synthetic Sonar Dataset (https://huggingface.co/datasets/caicv/S3simulator_Plus_Synthetic_Sonar_dataset) | Mine, 4,180 images | Request access |
The datasets are free for non-commercial research. Access is granted after you submit a request and return a signed Data Use Agreement.