Computer vision is a rapidly evolving field that focuses on enabling computers to interpret and understand visual information from the world around us. This research area has applications in various domains, including healthcare, security, autonomous vehicles, and more.
Research Topics
- Image Recognition: This involves teaching computers to identify and classify images into different categories.
- Object Detection: It is the process of identifying and locating objects within an image or a video.
- Deep Learning: Deep learning techniques are widely used in computer vision for tasks such as image classification, object detection, and segmentation.
- Neural Networks: Neural networks are the building blocks of deep learning models and are crucial for computer vision tasks.
Our Work
At our research lab, we are actively working on several computer vision projects. One of our notable projects involves using deep learning to improve the accuracy of object detection in real-time video streams.
Image Recognition
We have developed a deep learning model that can accurately recognize objects in images. This model has been tested on a diverse set of datasets and has shown promising results.
Example
Here's an example of an image recognized by our model:
Further Reading
For more information on computer vision and our research projects, please visit our Computer Vision Research Page.