VIC03: Image Analysis of Boat Traffic
- Ocean Networks Canada
Victoria
- Organisation
- Ocean Networks Canada
- Dwight Owens
Use machine learning to count and boats from thousands of shore camera images
- What the challenge owner would like to develop over 48h
- An AI/ML system that can detect and quantify boat traffic from thousands of still images captured every 5 minutes by a shore camera. This kind of quantitative analysis could be of great interest to indigenous communities and fisheries management organizations. A system for quantifying boat traffic from timelapse imagery could also have many commercial and industrial applications.
- Which skills the challenge owner is looking for
- Data analyst, AI/ML specialist, computer vision specialist, team lead/coordinator/communicator
