All Challenges
AI Detection
Train models to detect traps, debris, and wildlife from imagery.
The Problem
We collect enormous volumes of sonar, underwater, aerial, and citizen photos — far more than humans can review. Buried in that imagery are ghost traps, debris fields, manatees, dolphins, and habitat changes that need to be found and counted.
Our Approach
Build and train computer-vision models to detect and classify targets from sonar mosaics, ROV video, drone imagery, and public reports. Ship models that run on edge devices for real-time field alerts and a cloud pipeline for batch analysis.
Deep learningDataset labelingEdge inferenceSonar / image processingMLOps
Get involved
Related Projects
No published projects linked to this challenge yet.
Community Ideas
No ideas submitted for this challenge yet — be the first.