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Automated Dataset Annotation Tool

In development

BlinkThor AutoLabel AI

BlinkThor AutoLabel AI is a data annotation product that our team is developing to automate labeling and prepare datasets for different model-training workflows. It helps turn raw visual data into structured annotations, reducing repetitive preparation while keeping labels available for inspection and correction.

AutoLabel AI studio: a proposed box on a 30 km/h sign waiting for review (recorded session)
Recorded session: a speed-limit sign waiting for review

A clearer path from raw visuals to model-ready data

  • Model-assisted labeling
  • Human quality review
  • Training-ready data

Fast labels must still be usable labels.

Object geometry, semantic classes and export schemas must agree with the training objective.

Turn visual data into reviewable, structured datasets through a reusable project workflow.