Metrics to Use to Evaluate Deep Learning Object Detectors

Metrics to Use to Evaluate Deep Learning Object Detectors

By Venkatesh Wadawadagi, Sahaj Software Solutions Different approaches have been employed to solve the growing need for accurate object detection models. More recently, with the popularization of the convolutional neural networks (CNN) and GPU-accelerated deep-learning frameworks, object- detection algorithms started being developed from…

Deployment of Artificial Intelligence in Real-World Practice: Opportunity and Challenge

Deployment of Artificial Intelligence in Real-World Practice: Opportunity and Challenge

Abstract Artificial intelligence has rapidly evolved from the experimental phase to the implementation phase in many image-driven clinical disciplines, including ophthalmology. A combination of the increasing availability of large datasets and computing power with revolutionary progress in deep learning has created unprecedented…