CSE teamed up with Conservation Metrics to use Active Learning to allow for more efficient data labeling for object detection projects.
We demonstrate how to train Object Detection models using CNTK and Tensoflow DNN frameworks. Azure ML Workbench is used as the main training and model hosting infrastructure.
An overview of different image classification approaches including Microsoft Azure Custom Vision Service and CNTK for various levels of classification complexity.
Creating an object detection model using Microsoft's open source deep learning framework CNTK and its implementation of Fast-RCNN.
Building a video tagging tool on top of CNTK to enable developers to create, review and iterate object detection models.
