agentmorris/MegaDetector

What it solves

Conservation biologists often spend vast amounts of time manually reviewing thousands of camera trap images to find animals. MegaDetector automates this by identifying animals, people, and vehicles in these images, which also allows researchers to quickly eliminate blank images (images containing no subjects of interest).

How it works

It uses an AI model trained on several million images from a variety of ecosystems to detect and draw bounding boxes around animals, people, and vehicles. It is designed as a general detector; it identifies that an animal is present, but does not classify the animal into a specific species.

Who it’s for

Ecologists and conservation biologists who use camera traps to monitor wildlife and need to accelerate their image annotation and data processing workflows.

Highlights

• Trained on millions of images across diverse ecosystems.
• Detects animals, humans, and vehicles.
• Reduces manual effort by filtering out blank images.
• Available as a Python package for developers.
• Integrates with other tools like SpeciesNet for species-level classification.