Overview

Import data, search and organize

1. Set up cloud bucket integration
2. Create a dataset
3. Data curation
4. Zero-shot labeling
5. Import ground truth annotations
6. Import model predictions as prelabels
7. Import model predictions for model error analysis

Label data

1. Set up ontology (task design)
2. Set up labeling project
3. Use internal team or your own vendor
4. Use Boost: Data labeling service

Train models and diagnose errors

1. Overview
2. Model error analysis
3. Train models