There is no way to train your own model inside AddaxAI itself. However, you can use the MEWC pipeline which AddaxAI collaborates with, to make the model training sort-of user friendly-ish. You’ll still need to have some bascic experience with python / docker / CLI commands, though.
How do I train my own classifier and import it into AddaxAI?
You have two main options for training your own classifier and using it in AddaxAI:
Option 1: Train with MEWC
The easiest way to train a compatible classifier is to use the MEWC pipeline , developed by researchers from the University of Tasmania. It’s built for species classification tasks and integrates smoothly with AddaxAI.
While it does require some familiarity with Python and Docker , it’s a solid entry point …
Want to integrate your classifier into the AddaxAI Model Zoo?
The model integration is designed to be relatively developer-friendly. It expects classifiers to run on image crops generated by MegaDetector . If your model works differently—like using full images or a different input format—just let me know: peter@addaxdatascience.com .
Here’s what you need to know:
Requirements
AddaxAI uses multiple virtual environments to avoid package conflicts across model architectures. Ch…
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