Remove 02 15 cloud-data-science-7
article thumbnail

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

AWS Machine Learning Blog

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at a single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

AWS 70
article thumbnail

Training the YOLOv8 Object Detector for OAK-D

PyImageSearch

One interesting aspect in the figure is the YOLOv5 model by Ultralytics, published in the year 2020, and this year, they released yet another state-of-the-art object detection model, YOLOv8. Figure 7: YOLOv8 variants starting with YOLOv8 Nano to YOLOv8 XLarge (source: image by the author).