Portfolio case study
Python Library: AutoToloka
Interactive segmentation toolkit that cuts labeling cost for CV datasets.
Overview
Python library that streams clicks/polygons to interactive models and pipelines the outputs to crowdsourcing or MLOps stacks.
What It Covers
- Reduces labeling costs
- Pipeline-friendly
- Interactive masks
Stack And Topics
- Python
- Interactive Segmentation
- Multi-modal Networks
Public Signals
- Public references and qualitative delivery signals are used where numeric benchmarks are not public.