OGC Testbed 14 participation: Enhancing OGC services with AI, Deep Learning and Machine Learning

OGC Testbed 14 participation: Enhancing OGC services with AI, Deep Learning and Machine Learning OGC Testbed 14 participation: Enhancing OGC services with AI, Deep Learning and Machine Learning Objectives: This project aims to design and implement the image repository and feature store for providing both georeferenced imagery and feature data to support the machine learning/deep learning tasks including the process for data analyzing, labeling, classifying and validating. The following functionalities will be considered in the protocol design and service implementation: Supporting the store and manage of huge volume of raw imagery data, feature data and their attributes. Supporting the providing of data repository profile/metadata through a GetCapabilities API. Supporting the providing of georeferenced imagery and feature data through OGC WMS and WFS standards for visualization and validation. Supporting push of images into knowledge base for Machine Learning (ML) Training.