https://github.com/machine-learning-tokyo/mltx2020

https://github.com/machine-learning-tokyo/mltx2020

Last synced: 12 months ago
JSON representation

• Host: GitHub
• URL: https://github.com/machine-learning-tokyo/mltx2020
• Owner: Machine-Learning-Tokyo
• License: mit
• Created: 2019-02-15T13:29:07.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2022-12-08T00:46:41.000Z (over 3 years ago)
• Last Synced: 2025-04-18T16:26:22.553Z (about 1 year ago)
• Language: Jupyter Notebook
• Size: 7.23 MB
• Stars: 12
• Watchers: 1
• Forks: 6
• Open Issues: 31
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# MLT x 2020

More than half a million people are expected to come to Tokyo for the Olympics 2020. We built a highly scalable system for face detection and count, age, gender and emotion prediction for 

* managing crowds, 

* making personalized recommendation for users and 

* optimizing marketing campaigns and ad placement (e.g. ads on screens based on average age or gender). 

We combined 3 Deep Learning Models and 3 APIs (Twitter, Google Maps, Google Translate). This helps to facilitate Safety, Efficiency and Business Value for the Tokyo Olympics 2020.

**Presentation slides:** https://goo.gl/hBwi4U

![alt text](face_detection_statistics.png)

# MLT Teams at Junction Tokyo