Student Competitions

Deep Chimpact: Depth Estimation for Wildlife Conservation

Deep Chimpact: Depth Estimation for Wildlife Conservation is an online data science challenge hosted by DrivenData.

Your goal in this challenge is to use machine learning to automatically estimate the distance between a camera trap and an animal in a series of camera trap videos. You will be given a series of timestamps indicating when animals are visible in each camera trap video. To complete the challenge, you will predict the distance between the animal and the camera at each point in time.

The competition data was collected and labelled by two research teams from the Max Planck Institute for Evolutionary Anthropology (MPI-EVA) and the Wild Chimpanzee Foundation (WCF).

MathWorks supports this competition by providing complimentary software, learning resources, and a bonus award for the best score achieved using MATLAB and toolboxes. 

Click here to sign up for the challenge.

Complimentary Software

MathWorks provides complimentary software for this competition. If your team is participating in this competition and needs software, fill out the software request form.

The period to request software has closed.

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