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Retina

From labelled images to a production inference API.

Retina screenshot
Organise datasets into groups and upload images in bulk
Kick off training runs and watch progress live
Experiment tracking backed by MLflow
OpenAPI-documented inference API for predictions
Object storage, queue workers, and serving included

Retina is a computer-vision platform that covers the whole path from raw images to a production prediction endpoint. Upload images, organise them into groups, train a model, and call the inference API — without stitching together half a dozen MLOps tools first.

Training you can watch

Training runs happen on background workers with live progress in the UI, and every run is tracked in MLflow so you can compare experiments and keep the model that actually wins. Datasets live in object storage, not on someone's laptop.

An API your team can build on

The inference API is documented with OpenAPI, so integrating predictions into your product is a code-generation step, not an archaeology project. Deploy it next to your other workloads and keep your images inside your own infrastructure.

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