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Check out the documentation for more information.
Overview
MegaDetector is an AI model that identifies animals, people, and vehicles in camera trap images (which also makes it useful for eliminating blank images). This model is trained on several million images from a variety of ecosystems.
Getting started
If you are a biologist looking to get started with MegaDetector, you probably don't want to download the model directly; instead, check out AddaxAI, a GUI-based tool for running AI models on camera trap images.
If you want to run MegaDetector directly (at the command line, or from code), check out the MegaDetector User Guide and the MegaDetector Python package.
Variations
Three variations of the model are included in this Hugging Face release:
All three variations use the same architecture (YOLOv5x6).
More information about how these models are related, along with information about other variants that are available but not recommended for general use, is available in the MDv1000 release notes.
License information
MegaDetector-specific code is MIT-licensed.
The most restrictive license among inference-time dependencies is GPL.
Training data was provided under a combination of CDLA-permissive (for public data from LILA) and proprietary licenses (for private data). None of the training data licenses place any restrictions on the use of the model.
Sample output
Here's a “teaser” image of what MegaDetector output looks like:
Image credit University of Washington.