Skip main navigation

New offer! Get 30% off one whole year of Unlimited learning. Subscribe for just £249.99 £174.99. New subscribers only. T&Cs apply

Find out more

Application on VIVID

v

Prof. Lai continues to give examples of VIVID: Virtual Environment for Visual Deep Learning. The ultimate goal of VIVID is to simulate real-life events. One of the examples is campus shooting events. How to identify the shooter?

Another application of VIVID is wildfire escape. In the slide, a robot is running and trying to find a way out; the right one is earthquake rescue. A drone is flying in a ruined school to search for survivors. More examples are shown on our GitHub.

This will also conclude this week’s speech. In conclusion, VIVID is created for learning various computer vision tasks. It provides deep learning-friendly API. and It is easy to use with python examples and pre-compiled binaries. Finally, It can initiate research on real-life event simulation.

This article is from the free online

Applications of AI Technology

Created by
FutureLearn - Learning For Life

Reach your personal and professional goals

Unlock access to hundreds of expert online courses and degrees from top universities and educators to gain accredited qualifications and professional CV-building certificates.

Join over 18 million learners to launch, switch or build upon your career, all at your own pace, across a wide range of topic areas.

Start Learning now