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See #64 for context - using a Label Studio ML backend to serve up different models for "pre-annotation" tagging within Label Studio
There's more work to be done on this (read model paths from configuration rather than hardcoded, update the Dockerfile so it's pulling in model state, and output readable labels. Also what to do on the client side when we want to use different models for different buckets - query parameters or separate endpoints or (hopefully not) a separate container?)
But it needs tested with the
image_index
branch