Artificial Intelligence
Author: Kevin Song
Kevin Song is a Data Scientist at AWS Professional Services. He holds a PhD in Biophysics and has over 5 years of industry experience in building computer vision and machine learning solutions. In his free time, Kevin enjoys playing basketball, working on house and garden projects, and spending time with his family.
Hosting YOLOv8 PyTorch models on Amazon SageMaker Endpoints
Deploying models at scale can be a cumbersome task for many data scientists and machine learning engineers. However, Amazon SageMaker endpoints provide a simple solution for deploying and scaling your machine learning (ML) model inferences. Our last blog post and GitHub repo on hosting a YOLOv5 TensorFlowModel on Amazon SageMaker Endpoints sparked a lot of interest […]
Analyze and visualize multi-camera events using Amazon SageMaker Studio Lab
The National Football League (NFL) is one of the most popular sports leagues in the United States and is the most valuable sports league in the world. The NFL, BioCore, and AWS are committed to advancing human understanding around the diagnosis, prevention, and treatment of sports-related injuries to make the game of football safer. More […]
Scale YOLOv5 inference with Amazon SageMaker endpoints and AWS Lambda
After data scientists carefully come up with a satisfying machine learning (ML) model, the model must be deployed to be easily accessible for inference by other members of the organization. However, deploying models at scale with optimized cost and compute efficiencies can be a daunting and cumbersome task. Amazon SageMaker endpoints provide an easily scalable […]