agentmorris/MegaDetector

MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.

What it solves

Conservation biologists often face the tedious task of manually sorting through millions of camera trap images to find animals and remove "blank" images (those containing no animals, people, or vehicles). MegaDetector automates this process, saving researchers time and effort.

How it works

MegaDetector is an AI model trained on several million images from diverse ecosystems. It identifies and locates animals, people, and vehicles within images using bounding boxes. While it can detect the presence of these subjects, it does not identify specific species of animals.

Who it’s for

Ecologists, conservation biologists, and programmers who use camera trap data for wildlife monitoring and research.

Highlights

  • AI model trained on millions of images across various ecosystems.
  • Detects animals, people, and vehicles to help eliminate blank images.
  • Available as a Python package (pip install megadetector) for developers.
  • Integrates with other tools like SpeciesNet for species-level classification.

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