Computer vision is a rapidly growing field in research and applications. Advances in computer vision research are now more directly and immediately applicable to the commercial world. By Richmond Alake.
AI developers are implementing computer vision solutions that identify and classify objects and even react to them in real time. Image classification, face detection, pose estimation, and optical flow are some of the typical tasks. Computer vision engineers are a subset of deep learning (DL) or machine learning (ML) engineers that program computer vision algorithms to accomplish these tasks.
The article further describes solutions related to:
- Cloud computing
- AutoML
- Machine learning libraries and frameworks
- Mobile devices
Computer vision technology continues to increase as AI becomes more integrated in our daily lives. Computer vision is also becoming more and more common in the latest news headlines. As this technology scales, the demand for specialists with knowledge in computer vision systems will also rise due to trends in cloud computing service, Auto ML pipelines, transformers, mobile-focused DL libraries, and computer vision mobile applications. Good read!
[Read More]