Data Labeling and Model Iteration
An internal annotation tool to help the ML team improve models faster.
The problem
A computer-vision product depends on the data used to train and improve its models. Annotation and iteration were an internal workflow worth improving alongside the customer-facing product.
What I owned
I built an internal data-labeling tool to support annotation and model iteration for Intello’s produce-quality models.
How I approached it
- Focused on the annotation workflow used by internal labeling and ML teams.
- Built tooling to accelerate the path from labeled images to model iteration.