#ZindiWeekendz Learning: Spot the Mask Challenge by #ZindiWeekendz
Can you predict whether a person in an image is wearing a face mask? #masks4all
382 data scientists enrolled, 71 on the leaderboard
SafetyHealthComputer VisionUnstructuredImageSDG3
1 May 2020

This challenge was designed specifically as a #ZindiWeekendz hackathon (Spot the Mask Challenge). We are re-opening the hackathon as a Knowledge Challenge, to allow the Zindi community to learn and test their skills. To help you all out, we’ve created a new Tutorials tab with videos, starter coder and other helpful resources. We’ll also have open sessions with Zindi data scientists Johno Whitaker where you can ask your questions and discuss the challenge. We encourage Zindians to share their code on the discussion board so that everyone in our community can learn from and support one another.

Face masks have become a common public sight in the last few months. The Centers for Disease Control (CDC) recently advised the use of simple cloth face coverings to slow the spread of the virus and help people who may have the virus and do not know it from transmitting it to others. Wearing masks is broadly recognised as critical to reducing community transmission and limiting touching of the face.

In a time of concern about slowing the transmission of COVID-19, increased surveillance combined with AI solutions can improve monitoring and reduce the human effort needed to limit the spread of this disease. The objective of this challenge is to create an image classification machine learning model to accurately predict the likelihood that an image contains a person wearing a face mask, or not. The total dataset contains 1,800+ images of people either wearing masks or not.

Your machine learning solution will help policymakers, law enforcement, hospitals, and even commercial businesses ensure that masks are being worn appropriately in public. These solutions can help in the battle to reduce community transmission of COVID-19.

About #ZindiWeekendz Learning

The Zindi community is joining the fight against COVID-19! #ZindiWeekendz are virtual weekend hackathons hosted by Zindi. This series of #ZindiWeekendz throughout April and May 2020 focuses specifically on COVID-19.

In a time of lockdowns, remote work, and general uncertainty, #ZindiWeekendz offer data scientists the opportunity to continue to develop their skills while contributing to practical, open-source AI solutions to help in the battle against COVID-19.

#ZindiWeekendz Learning re-opens a past hackathon with a Tutorial tab. Zindians are encouraged to work through the tutorial and learn how to make a submission and improve their submissions.